diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index c4d80c5e..c0dbff37 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -58,20 +58,31 @@ jobs: run: pip install tqdm mkdocs-material "mkdocstrings[python]" mkdocs-jupyter mkdocs-redirects mkdocs-ultralytics-plugin - name: Update Docs Reference Section run: python docs/build_reference.py - - name: Commit and Push Changes + - name: Commit and Push Reference Section Changes run: | git add . git reset HEAD -- .github/workflows/ # workflow changes are not permitted with default token + git config --global user.name "UltralyticsAssistant" + git config --global user.email "web@ultralytics.com" if ! git diff --staged --quiet; then - git config --global user.name "UltralyticsAssistant" - git config --global user.email "web@ultralytics.com" - git commit -m "Auto-update Ultralytics Docs by https://ultralytics.com/actions" + git commit -m "Auto-update Ultralytics Docs Reference Section by https://ultralytics.com/actions" git push else echo "No changes to commit" fi - name: Build Docs and Check for Warnings run: python docs/build_docs.py + - name: Commit and Push Docs changes + if: always() + run: | + git add --update # only add updated files + git reset HEAD -- .github/workflows/ # workflow changes are not permitted with default token + if ! git diff --staged --quiet; then + git commit -m "Auto-update Ultralytics Docs by https://ultralytics.com/actions" + git push + else + echo "No changes to commit" + fi HUB: if: github.repository == 'ultralytics/ultralytics' && (github.event_name == 'schedule' || github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && github.event.inputs.hub == 'true')) diff --git a/docs/build_docs.py b/docs/build_docs.py index 566c1f93..16ec8ca4 100644 --- a/docs/build_docs.py +++ b/docs/build_docs.py @@ -37,7 +37,7 @@ DOCS = Path(__file__).parent.resolve() SITE = DOCS.parent / "site" -def build_docs(clone_repos=True): +def prepare_docs_markdown(clone_repos=True): """Build docs using mkdocs.""" if SITE.exists(): print(f"Removing existing {SITE}") @@ -56,10 +56,9 @@ def build_docs(clone_repos=True): shutil.copytree(local_dir / "hub_sdk", DOCS.parent / "hub_sdk") # for mkdocstrings print(f"Cloned/Updated {repo} in {local_dir}") - # Build the main documentation - print(f"Building docs from {DOCS}") - subprocess.run(f"mkdocs build -f {DOCS.parent}/mkdocs.yml --strict", check=True, shell=True) - print(f"Site built at {SITE}") + # Add frontmatter + for file in tqdm((DOCS / "en").rglob("*.md"), desc="Adding frontmatter"): + update_markdown_files(file) def update_page_title(file_path: Path, new_title: str): @@ -116,10 +115,10 @@ def update_subdir_edit_links(subdir="", docs_url=""): file.write(str(soup)) -def update_page(md_filepath: Path): +def update_markdown_files(md_filepath: Path): """Creates or updates a Markdown file, ensuring frontmatter is present.""" if md_filepath.exists(): - content = md_filepath.read_text() + content = md_filepath.read_text().strip() # Replace apostrophes content = content.replace("‘", "'").replace("’", "'") @@ -129,20 +128,17 @@ def update_page(md_filepath: Path): header = "---\ncomments: true\ndescription: TODO ADD DESCRIPTION\nkeywords: TODO ADD KEYWORDS\n---\n\n" content = header + content + # Add EOF newline if missing + if not content.endswith("\n"): + content += "\n" + # Save page md_filepath.write_text(content) return -def main(): - """Builds docs, updates titles and edit links, and prints local server command.""" - build_docs() - - # Add frontmatter - for file in tqdm((DOCS / "en").rglob("*.md"), desc="Adding frontmatter"): - update_page(file) - - # Update titles +def update_docs_html(): + """Updates titles, edit links and head sections of HTML documentation for improved accessibility and relevance.""" update_page_title(SITE / "404.html", new_title="Ultralytics Docs - Not Found") # Update edit links @@ -156,8 +152,21 @@ def main(): if any(script): update_html_head(script) + +def main(): + """Builds docs, updates titles and edit links, and prints local server command.""" + prepare_docs_markdown() + + # Build the main documentation + print(f"Building docs from {DOCS}") + subprocess.run(f"mkdocs build -f {DOCS.parent}/mkdocs.yml --strict", check=True, shell=True) + print(f"Site built at {SITE}") + + # Update docs HTML pages + update_docs_html() + # Show command to serve built website - print('Serve site at http://localhost:8000 with "python -m http.server --directory site"') + print('Docs built correctly ✅\nServe site at http://localhost:8000 with "python -m http.server --directory site"') if __name__ == "__main__": diff --git a/docs/build_reference.py b/docs/build_reference.py index 26ab538e..47fe5457 100644 --- a/docs/build_reference.py +++ b/docs/build_reference.py @@ -12,10 +12,16 @@ from collections import defaultdict from pathlib import Path # Constants -FILE = Path(__file__).resolve() -PACKAGE_DIR = FILE.parents[1] / "ultralytics" # i.e. /Users/glennjocher/PycharmProjects/ultralytics/ultralytics -REFERENCE_DIR = PACKAGE_DIR.parent / "docs/en/reference" -GITHUB_REPO = "ultralytics/ultralytics" +hub_sdk = False +if hub_sdk: + PACKAGE_DIR = Path("/Users/glennjocher/PycharmProjects/hub-sdk/hub_sdk") + REFERENCE_DIR = PACKAGE_DIR.parent / "docs/reference" + GITHUB_REPO = "ultralytics/hub-sdk" +else: + FILE = Path(__file__).resolve() + PACKAGE_DIR = FILE.parents[1] / "ultralytics" # i.e. /Users/glennjocher/PycharmProjects/ultralytics/ultralytics + REFERENCE_DIR = PACKAGE_DIR.parent / "docs/en/reference" + GITHUB_REPO = "ultralytics/ultralytics" def extract_classes_and_functions(filepath: Path) -> tuple: @@ -54,7 +60,7 @@ def create_markdown(py_filepath: Path, module_path: str, classes: list, function f"# Reference for `{module_path}.py`\n\n" f"!!! Note\n\n" f" This file is available at [{url}]({url}). If you spot a problem please help fix it by [contributing]" - f"(/help/contributing.md) a [Pull Request]({edit}) 🛠️. Thank you 🙏!\n\n" + f"(https://docs.ultralytics.com/help/contributing/) a [Pull Request]({edit}) 🛠️. Thank you 🙏!\n\n" ) md_content = ["

\n"] + [f"## ::: {module_name}.{class_name}\n\n

\n" for class_name in classes] md_content.extend(f"## ::: {module_name}.{func_name}\n\n

\n" for func_name in functions) @@ -68,7 +74,7 @@ def create_markdown(py_filepath: Path, module_path: str, classes: list, function if not exists: # Add new markdown file to the git staging area print(f"Created new file '{md_filepath}'") - subprocess.run(["git", "add", "-f", str(md_filepath)], check=True) + subprocess.run(["git", "add", "-f", str(md_filepath)], check=True, cwd=PACKAGE_DIR) return md_filepath.relative_to(PACKAGE_DIR.parent) diff --git a/docs/en/datasets/classify/caltech101.md b/docs/en/datasets/classify/caltech101.md index 5415fb2e..827db9f8 100644 --- a/docs/en/datasets/classify/caltech101.md +++ b/docs/en/datasets/classify/caltech101.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn about the Caltech-101 dataset, its structure and uses in machine learning. Includes instructions to train a YOLO model using this dataset. -keywords: Caltech-101, dataset, YOLO training, machine learning, object recognition, ultralytics +description: Explore the widely-used Caltech-101 dataset with 9,000 images across 101 categories. Ideal for object recognition tasks in machine learning and computer vision. +keywords: Caltech-101, dataset, object recognition, machine learning, computer vision, YOLO, deep learning, research, AI --- # Caltech-101 Dataset diff --git a/docs/en/datasets/classify/caltech256.md b/docs/en/datasets/classify/caltech256.md index b84bfabc..3e147372 100644 --- a/docs/en/datasets/classify/caltech256.md +++ b/docs/en/datasets/classify/caltech256.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the Caltech-256 dataset, a diverse collection of images used for object recognition tasks in machine learning. Learn to train a YOLO model on the dataset. -keywords: Ultralytics, YOLO, Caltech-256, dataset, object recognition, machine learning, computer vision, deep learning +description: Explore the Caltech-256 dataset, featuring 30,000 images across 257 categories, ideal for training and testing object recognition algorithms. +keywords: Caltech-256 dataset, object classification, image dataset, machine learning, computer vision, deep learning, YOLO, training dataset --- # Caltech-256 Dataset diff --git a/docs/en/datasets/classify/cifar10.md b/docs/en/datasets/classify/cifar10.md index 7d5f304a..44b180e4 100644 --- a/docs/en/datasets/classify/cifar10.md +++ b/docs/en/datasets/classify/cifar10.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the CIFAR-10 dataset, widely used for training in machine learning and computer vision, and learn how to use it with Ultralytics YOLO. -keywords: CIFAR-10, dataset, machine learning, image classification, computer vision, YOLO, Ultralytics, training, testing, deep learning, Convolutional Neural Networks, Support Vector Machines +description: Explore the CIFAR-10 dataset, featuring 60,000 color images in 10 classes. Learn about its structure, applications, and how to train models using YOLO. +keywords: CIFAR-10, dataset, machine learning, computer vision, image classification, YOLO, deep learning, neural networks --- # CIFAR-10 Dataset diff --git a/docs/en/datasets/classify/cifar100.md b/docs/en/datasets/classify/cifar100.md index 87dfcead..6b523e26 100644 --- a/docs/en/datasets/classify/cifar100.md +++ b/docs/en/datasets/classify/cifar100.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to leverage the CIFAR-100 dataset for machine learning and computer vision tasks with YOLO. Gain insights on its structure, use, and utilization for model training. -keywords: Ultralytics, YOLO, CIFAR-100 dataset, image classification, machine learning, computer vision, YOLO model training +description: Explore the CIFAR-100 dataset, consisting of 60,000 32x32 color images across 100 classes. Ideal for machine learning and computer vision tasks. +keywords: CIFAR-100, dataset, machine learning, computer vision, image classification, deep learning, YOLO, training, testing, Alex Krizhevsky --- # CIFAR-100 Dataset diff --git a/docs/en/datasets/classify/fashion-mnist.md b/docs/en/datasets/classify/fashion-mnist.md index 6627be20..7774358e 100644 --- a/docs/en/datasets/classify/fashion-mnist.md +++ b/docs/en/datasets/classify/fashion-mnist.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use the Fashion-MNIST dataset for image classification with the Ultralytics YOLO model. Covers dataset structure, labels, applications, and usage. -keywords: Ultralytics, YOLO, Fashion-MNIST, dataset, image classification, machine learning, deep learning, neural networks, training, testing +description: Explore the Fashion-MNIST dataset, a modern replacement for MNIST with 70,000 Zalando article images. Ideal for benchmarking machine learning models. +keywords: Fashion-MNIST, image classification, Zalando dataset, machine learning, deep learning, CNN, dataset overview --- # Fashion-MNIST Dataset diff --git a/docs/en/datasets/classify/imagenet.md b/docs/en/datasets/classify/imagenet.md index eba7f9fc..3390b366 100644 --- a/docs/en/datasets/classify/imagenet.md +++ b/docs/en/datasets/classify/imagenet.md @@ -1,7 +1,7 @@ --- comments: true -description: Understand how to use ImageNet, an extensive annotated image dataset for object recognition research, with Ultralytics YOLO models. Learn about its structure, usage, and significance in computer vision. -keywords: Ultralytics, YOLO, ImageNet, dataset, object recognition, deep learning, computer vision, machine learning, dataset training, model training, image classification, object detection +description: Explore the extensive ImageNet dataset and discover its role in advancing deep learning in computer vision. Access pretrained models and training examples. +keywords: ImageNet, deep learning, visual recognition, computer vision, pretrained models, YOLO, dataset, object detection, image classification --- # ImageNet Dataset diff --git a/docs/en/datasets/classify/imagenet10.md b/docs/en/datasets/classify/imagenet10.md index d94f776d..088907ef 100644 --- a/docs/en/datasets/classify/imagenet10.md +++ b/docs/en/datasets/classify/imagenet10.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the compact ImageNet10 Dataset developed by Ultralytics. Ideal for fast testing of computer vision training pipelines and CV model sanity checks. -keywords: Ultralytics, YOLO, ImageNet10 Dataset, Image detection, Deep Learning, ImageNet, AI model testing, Computer vision, Machine learning +description: Discover ImageNet10 a compact version of ImageNet for rapid model testing and CI checks. Perfect for quick evaluations in computer vision tasks. +keywords: ImageNet10, ImageNet, Ultralytics, CI tests, sanity checks, training pipelines, computer vision, deep learning, dataset --- # ImageNet10 Dataset diff --git a/docs/en/datasets/classify/imagenette.md b/docs/en/datasets/classify/imagenette.md index 8f81b185..f951c407 100644 --- a/docs/en/datasets/classify/imagenette.md +++ b/docs/en/datasets/classify/imagenette.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn about the ImageNette dataset and its usage in deep learning model training. Find code snippets for model training and explore ImageNette datatypes. -keywords: ImageNette dataset, Ultralytics, YOLO, Image classification, Machine Learning, Deep learning, Training code snippets, CNN, ImageNette160, ImageNette320 +description: Explore the ImageNette dataset, a subset of ImageNet with 10 classes for efficient training and evaluation of image classification models. Ideal for ML and CV projects. +keywords: ImageNette dataset, ImageNet subset, image classification, machine learning, deep learning, YOLO, Convolutional Neural Networks, ML dataset, education, training --- # ImageNette Dataset diff --git a/docs/en/datasets/classify/imagewoof.md b/docs/en/datasets/classify/imagewoof.md index f1b9836a..79021edc 100644 --- a/docs/en/datasets/classify/imagewoof.md +++ b/docs/en/datasets/classify/imagewoof.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the ImageWoof dataset, designed for challenging dog breed classification. Train AI models with Ultralytics YOLO using this dataset. -keywords: ImageWoof, image classification, dog breeds, machine learning, deep learning, Ultralytics, YOLO, dataset +description: Explore the ImageWoof dataset, a challenging subset of ImageNet focusing on 10 dog breeds, designed to enhance image classification models. Learn more on Ultralytics Docs. +keywords: ImageWoof dataset, ImageNet subset, dog breeds, image classification, deep learning, machine learning, Ultralytics, training dataset, noisy labels --- # ImageWoof Dataset diff --git a/docs/en/datasets/classify/index.md b/docs/en/datasets/classify/index.md index e45752e5..c0885d47 100644 --- a/docs/en/datasets/classify/index.md +++ b/docs/en/datasets/classify/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore image classification datasets supported by Ultralytics, learn the standard dataset format, and set up your own dataset for training models. -keywords: Ultralytics, image classification, dataset, machine learning, CIFAR-10, ImageNet, MNIST, torchvision +description: Learn how to structure datasets for YOLO classification tasks. Detailed folder structure and usage examples for effective training. +keywords: YOLO, image classification, dataset structure, CIFAR-10, Ultralytics, machine learning, training data, model evaluation --- # Image Classification Datasets Overview diff --git a/docs/en/datasets/classify/mnist.md b/docs/en/datasets/classify/mnist.md index 6632f2e5..0845a193 100644 --- a/docs/en/datasets/classify/mnist.md +++ b/docs/en/datasets/classify/mnist.md @@ -1,7 +1,7 @@ --- comments: true -description: Detailed guide on the MNIST Dataset, a benchmark in the machine learning community for image classification tasks. Learn about its structure, usage and application. -keywords: MNIST dataset, Ultralytics, image classification, machine learning, computer vision, deep learning, AI, dataset guide +description: Explore the MNIST dataset, a cornerstone in machine learning for handwritten digit recognition. Learn about its structure, features, and applications. +keywords: MNIST, dataset, handwritten digits, image classification, deep learning, machine learning, training set, testing set, NIST --- # MNIST Dataset diff --git a/docs/en/datasets/detect/african-wildlife.md b/docs/en/datasets/detect/african-wildlife.md index 97a19f05..121cbbb5 100644 --- a/docs/en/datasets/detect/african-wildlife.md +++ b/docs/en/datasets/detect/african-wildlife.md @@ -1,7 +1,7 @@ --- comments: true -description: African Wildlife objects detection, a leading dataset for object detection in forests, integrates with Ultralytics. Discover ways to use it for training YOLO models. -keywords: Ultralytics, African Wildlife dataset, object detection, YOLO, YOLO model training, object tracking, computer vision, deep learning models, forest research, animals tracking +description: Explore our African Wildlife Dataset featuring images of buffalo, elephant, rhino, and zebra for training computer vision models. Ideal for research and conservation. +keywords: African Wildlife Dataset, South African animals, object detection, computer vision, YOLOv8, wildlife research, conservation, dataset --- # African Wildlife Dataset diff --git a/docs/en/datasets/detect/argoverse.md b/docs/en/datasets/detect/argoverse.md index d2b8c79e..b683e52c 100644 --- a/docs/en/datasets/detect/argoverse.md +++ b/docs/en/datasets/detect/argoverse.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore Argoverse, a comprehensive dataset for autonomous driving tasks including 3D tracking, motion forecasting and depth estimation used in YOLO. -keywords: Argoverse dataset, autonomous driving, YOLO, 3D tracking, motion forecasting, LiDAR data, HD maps, ultralytics documentation +description: Explore the comprehensive Argoverse dataset by Argo AI for 3D tracking, motion forecasting, and stereo depth estimation in autonomous driving research. +keywords: Argoverse dataset, autonomous driving, 3D tracking, motion forecasting, stereo depth estimation, Argo AI, LiDAR point clouds, high-resolution images, HD maps --- # Argoverse Dataset diff --git a/docs/en/datasets/detect/brain-tumor.md b/docs/en/datasets/detect/brain-tumor.md index 527807fe..f85e6a97 100644 --- a/docs/en/datasets/detect/brain-tumor.md +++ b/docs/en/datasets/detect/brain-tumor.md @@ -1,7 +1,7 @@ --- comments: true -description: Brain tumor detection, a leading dataset for medical imaging, integrates with Ultralytics. Discover ways to use it for training YOLO models. -keywords: Ultralytics, Brain Tumor dataset, object detection, YOLO, YOLO model training, object tracking, computer vision, deep learning models +description: Explore the brain tumor detection dataset with MRI/CT images. Essential for training AI models for early diagnosis and treatment planning. +keywords: brain tumor dataset, MRI scans, CT scans, brain tumor detection, medical imaging, AI in healthcare, computer vision, early diagnosis, treatment planning --- # Brain Tumor Dataset diff --git a/docs/en/datasets/detect/coco.md b/docs/en/datasets/detect/coco.md index e12de638..23648f52 100644 --- a/docs/en/datasets/detect/coco.md +++ b/docs/en/datasets/detect/coco.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how COCO, a leading dataset for object detection and segmentation, integrates with Ultralytics. Discover ways to use it for training YOLO models. -keywords: Ultralytics, COCO dataset, object detection, YOLO, YOLO model training, image segmentation, computer vision, deep learning models +description: Explore the COCO dataset for object detection and segmentation. Learn about its structure, usage, pretrained models, and key features. +keywords: COCO dataset, object detection, segmentation, benchmarking, computer vision, pose estimation, YOLO models, COCO annotations --- # COCO Dataset diff --git a/docs/en/datasets/detect/coco8.md b/docs/en/datasets/detect/coco8.md index f48275dc..bac4892e 100644 --- a/docs/en/datasets/detect/coco8.md +++ b/docs/en/datasets/detect/coco8.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the benefits of using the practical and diverse COCO8 dataset for object detection model testing. Learn to configure and use it via Ultralytics HUB and YOLOv8. -keywords: Ultralytics, COCO8 dataset, object detection, model testing, dataset configuration, detection approaches, sanity check, training pipelines, YOLOv8 +description: Explore the Ultralytics COCO8 dataset, a versatile and manageable set of 8 images perfect for testing object detection models and training pipelines. +keywords: COCO8, Ultralytics, dataset, object detection, YOLOv8, training, validation, machine learning, computer vision --- # COCO8 Dataset diff --git a/docs/en/datasets/detect/globalwheat2020.md b/docs/en/datasets/detect/globalwheat2020.md index 4b9362bf..433627a0 100644 --- a/docs/en/datasets/detect/globalwheat2020.md +++ b/docs/en/datasets/detect/globalwheat2020.md @@ -1,7 +1,7 @@ --- comments: true -description: Understand how to utilize the vast Global Wheat Head Dataset for building wheat head detection models. Features, structure, applications, usage, sample data, and citation. -keywords: Ultralytics, YOLO, Global Wheat Head Dataset, wheat head detection, plant phenotyping, crop management, deep learning, outdoor images, annotations, YAML configuration +description: Explore the Global Wheat Head Dataset to develop accurate wheat head detection models. Includes training images, annotations, and usage for crop management. +keywords: Global Wheat Head Dataset, wheat head detection, wheat phenotyping, crop management, deep learning, object detection, training datasets --- # Global Wheat Head Dataset diff --git a/docs/en/datasets/detect/index.md b/docs/en/datasets/detect/index.md index 51d73475..ae33ee74 100644 --- a/docs/en/datasets/detect/index.md +++ b/docs/en/datasets/detect/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Navigate through supported dataset formats, methods to utilize them and how to add your own datasets. Get insights on porting or converting label formats. -keywords: Ultralytics, YOLO, datasets, object detection, dataset formats, label formats, data conversion +description: Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats. +keywords: Ultralytics, YOLO, object detection datasets, dataset formats, COCO, dataset conversion, training datasets --- # Object Detection Datasets Overview diff --git a/docs/en/datasets/detect/lvis.md b/docs/en/datasets/detect/lvis.md index eb156f78..01bc0369 100644 --- a/docs/en/datasets/detect/lvis.md +++ b/docs/en/datasets/detect/lvis.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how LVIS, a leading dataset for object detection and segmentation, integrates with Ultralytics. Discover ways to use it for training YOLO models. -keywords: Ultralytics, LVIS dataset, object detection, YOLO, YOLO model training, image segmentation, computer vision, deep learning models +description: Discover the LVIS dataset by Facebook AI Research, a benchmark for object detection and instance segmentation with a large, diverse vocabulary. Learn how to utilize it. +keywords: LVIS dataset, object detection, instance segmentation, Facebook AI Research, YOLO, computer vision, model training, LVIS examples --- # LVIS Dataset diff --git a/docs/en/datasets/detect/objects365.md b/docs/en/datasets/detect/objects365.md index 0a9a3abb..1f338c54 100644 --- a/docs/en/datasets/detect/objects365.md +++ b/docs/en/datasets/detect/objects365.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the Objects365 dataset, a wide-scale, high-quality resource for object detection research. Learn to use it with the Ultralytics YOLO model. -keywords: Objects365, object detection, Ultralytics, dataset, YOLO, bounding boxes, annotations, computer vision, deep learning, training models +description: Explore the Objects365 Dataset with 2M images and 30M bounding boxes across 365 categories. Enhance your object detection models with diverse, high-quality data. +keywords: Objects365 dataset, object detection, machine learning, deep learning, computer vision, annotated images, bounding boxes, YOLOv8, high-resolution images, dataset configuration --- # Objects365 Dataset diff --git a/docs/en/datasets/detect/open-images-v7.md b/docs/en/datasets/detect/open-images-v7.md index 6b73d61f..2058e8d4 100644 --- a/docs/en/datasets/detect/open-images-v7.md +++ b/docs/en/datasets/detect/open-images-v7.md @@ -1,7 +1,7 @@ --- comments: true -description: Dive into Google's Open Images V7, a comprehensive dataset offering a broad scope for computer vision research. Understand its usage with deep learning models. -keywords: Open Images V7, object detection, segmentation masks, visual relationships, localized narratives, computer vision, deep learning, annotations, bounding boxes +description: Explore the comprehensive Open Images V7 dataset by Google. Learn about its annotations, applications, and use YOLOv8 pretrained models for computer vision tasks. +keywords: Open Images V7, Google dataset, computer vision, YOLOv8 models, object detection, image segmentation, visual relationships, AI research, Ultralytics --- # Open Images V7 Dataset diff --git a/docs/en/datasets/detect/roboflow-100.md b/docs/en/datasets/detect/roboflow-100.md index 583591fe..619cd7c8 100644 --- a/docs/en/datasets/detect/roboflow-100.md +++ b/docs/en/datasets/detect/roboflow-100.md @@ -1,7 +1,7 @@ --- comments: true -description: Get to know Roboflow 100, a comprehensive object detection benchmark that brings together 100 datasets from different domains. -keywords: Ultralytics, YOLOv8, YOLO models, Roboflow 100, object detection, benchmark, computer vision, datasets, deep learning models +description: Explore the Roboflow 100 dataset featuring 100 diverse datasets designed to test object detection models across various domains, from healthcare to video games. +keywords: Roboflow 100, Ultralytics, object detection, dataset, benchmarking, machine learning, computer vision, diverse datasets, model evaluation --- # Roboflow 100 Dataset diff --git a/docs/en/datasets/detect/signature.md b/docs/en/datasets/detect/signature.md index 3434839f..a5180345 100644 --- a/docs/en/datasets/detect/signature.md +++ b/docs/en/datasets/detect/signature.md @@ -1,7 +1,7 @@ --- comments: true -description: Signature Detection Dataset, a leading dataset for detecting signatures in documents, integrates with Ultralytics. Discover ways to use it for training YOLO models. -keywords: Ultralytics, Signature Detection Dataset, object detection, YOLO, YOLO model training, document analysis, computer vision, deep learning models, signature tracking, document verification +description: Discover the Signature Detection Dataset for training models to identify and verify human signatures in various documents. Perfect for document verification and fraud prevention. +keywords: Signature Detection Dataset, document verification, fraud detection, computer vision, YOLOv8, Ultralytics, annotated signatures, training dataset --- # Signature Detection Dataset diff --git a/docs/en/datasets/detect/sku-110k.md b/docs/en/datasets/detect/sku-110k.md index a74e5fb5..abd0f0ce 100644 --- a/docs/en/datasets/detect/sku-110k.md +++ b/docs/en/datasets/detect/sku-110k.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the SKU-110k dataset of densely packed retail shelf images for object detection research. Learn how to use it with Ultralytics. -keywords: SKU-110k dataset, object detection, retail shelf images, Ultralytics, YOLO, computer vision, deep learning models +description: Explore the SKU-110k dataset of densely packed retail shelf images, perfect for training and evaluating deep learning models in object detection tasks. +keywords: SKU-110k, dataset, object detection, retail shelf images, deep learning, computer vision, model training --- # SKU-110k Dataset diff --git a/docs/en/datasets/detect/visdrone.md b/docs/en/datasets/detect/visdrone.md index 8344d018..ea6315b1 100644 --- a/docs/en/datasets/detect/visdrone.md +++ b/docs/en/datasets/detect/visdrone.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the VisDrone Dataset, a large-scale benchmark for drone-based image analysis, and learn how to train a YOLO model using it. -keywords: VisDrone Dataset, Ultralytics, drone-based image analysis, YOLO model, object detection, object tracking, crowd counting +description: Explore the VisDrone Dataset, a large-scale benchmark for drone-based image and video analysis with over 2.6 million annotations for objects like pedestrians and vehicles. +keywords: VisDrone, drone dataset, computer vision, object detection, object tracking, crowd counting, machine learning, deep learning --- # VisDrone Dataset diff --git a/docs/en/datasets/detect/voc.md b/docs/en/datasets/detect/voc.md index aaded124..51ecb219 100644 --- a/docs/en/datasets/detect/voc.md +++ b/docs/en/datasets/detect/voc.md @@ -1,7 +1,7 @@ --- comments: true -description: A complete guide to the PASCAL VOC dataset used for object detection, segmentation and classification tasks with relevance to YOLO model training. -keywords: Ultralytics, PASCAL VOC dataset, object detection, segmentation, image classification, YOLO, model training, VOC.yaml, deep learning +description: Discover the PASCAL VOC dataset, essential for object detection, segmentation, and classification. Learn key features, applications, and usage tips. +keywords: PASCAL VOC, VOC dataset, object detection, segmentation, classification, YOLO, Faster R-CNN, Mask R-CNN, image annotations, computer vision --- # VOC Dataset diff --git a/docs/en/datasets/detect/xview.md b/docs/en/datasets/detect/xview.md index 7c62db62..872f33c3 100644 --- a/docs/en/datasets/detect/xview.md +++ b/docs/en/datasets/detect/xview.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore xView, a large-scale, high resolution satellite imagery dataset for object detection. Dive into dataset structure, usage examples & its potential applications. -keywords: Ultralytics, YOLO, computer vision, xView dataset, satellite imagery, object detection, overhead imagery, training, deep learning, dataset YAML +description: Explore the xView dataset, a rich resource of 1M+ object instances in high-resolution satellite imagery. Enhance detection, learning efficiency, and more. +keywords: xView dataset, overhead imagery, satellite images, object detection, high resolution, bounding boxes, computer vision, TensorFlow, PyTorch, dataset structure --- # xView Dataset diff --git a/docs/en/datasets/explorer/api.md b/docs/en/datasets/explorer/api.md index bc5c601c..37f5262d 100644 --- a/docs/en/datasets/explorer/api.md +++ b/docs/en/datasets/explorer/api.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore and analyze CV datasets with Ultralytics Explorer API, offering SQL, vector similarity, and semantic searches for efficient dataset insights. -keywords: Ultralytics Explorer API, Dataset Exploration, SQL Queries, Vector Similarity Search, Semantic Search, Embeddings Table, Image Similarity, Python API for Datasets, CV Dataset Analysis, LanceDB Integration +description: Explore the Ultralytics Explorer API for dataset exploration with SQL queries, vector similarity search, and semantic search. Learn installation and usage tips. +keywords: Ultralytics, Explorer API, dataset exploration, SQL queries, similarity search, semantic search, Python API, LanceDB, embeddings, data analysis --- # Ultralytics Explorer API diff --git a/docs/en/datasets/explorer/dashboard.md b/docs/en/datasets/explorer/dashboard.md index 513e140f..39ec0de8 100644 --- a/docs/en/datasets/explorer/dashboard.md +++ b/docs/en/datasets/explorer/dashboard.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn about Ultralytics Explorer GUI for semantic search, SQL queries, and AI-powered natural language search in CV datasets. -keywords: Ultralytics, Explorer GUI, semantic search, vector similarity search, AI queries, SQL queries, computer vision, dataset exploration, image search, OpenAI integration +description: Unlock advanced data exploration with Ultralytics Explorer GUI. Utilize semantic search, run SQL queries, and ask AI for natural language data insights. +keywords: Ultralytics Explorer GUI, semantic search, vector similarity, SQL queries, AI, natural language search, data exploration, machine learning, OpenAI, LLMs --- # Explorer GUI diff --git a/docs/en/datasets/explorer/index.md b/docs/en/datasets/explorer/index.md index 29f00691..4a848f64 100644 --- a/docs/en/datasets/explorer/index.md +++ b/docs/en/datasets/explorer/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the Ultralytics Explorer, a versatile tool and Python API for CV dataset exploration, enabling semantic search, SQL queries, and vector similarity searches. -keywords: Ultralytics Explorer, CV Dataset Tools, Semantic Search, SQL Dataset Queries, Vector Similarity, Python API, GUI Explorer, Dataset Analysis, YOLO Explorer, Data Insights +description: Discover Ultralytics Explorer for semantic search, SQL queries, vector similarity, and natural language dataset exploration. Enhance your CV datasets effortlessly. +keywords: Ultralytics Explorer, CV datasets, semantic search, SQL queries, vector similarity, dataset visualization, python API, machine learning, computer vision --- # Ultralytics Explorer diff --git a/docs/en/datasets/index.md b/docs/en/datasets/index.md index b43eaa15..b846e4a3 100644 --- a/docs/en/datasets/index.md +++ b/docs/en/datasets/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore various computer vision datasets supported by Ultralytics for object detection, segmentation, pose estimation, image classification, and multi-object tracking. -keywords: computer vision, datasets, Ultralytics, YOLO, object detection, instance segmentation, pose estimation, image classification, multi-object tracking +description: Explore Ultralytics' diverse datasets for vision tasks like detection, segmentation, classification, and more. Enhance your projects with high-quality annotated data. +keywords: Ultralytics, datasets, computer vision, object detection, instance segmentation, pose estimation, image classification, multi-object tracking --- # Datasets Overview diff --git a/docs/en/datasets/obb/dota-v2.md b/docs/en/datasets/obb/dota-v2.md index abb4c0a3..30f9fe50 100644 --- a/docs/en/datasets/obb/dota-v2.md +++ b/docs/en/datasets/obb/dota-v2.md @@ -1,7 +1,7 @@ --- comments: true -description: Delve into DOTA, an Oriented Bounding Box (OBB) aerial imagery dataset with 1.7 million instances and 11,268 images. -keywords: DOTA v1, DOTA v1.5, DOTA v2, object detection, aerial images, computer vision, deep learning, annotations, oriented bounding boxes, OBB +description: Explore the DOTA dataset for object detection in aerial images, featuring 1.7M Oriented Bounding Boxes across 18 categories. Ideal for aerial image analysis. +keywords: DOTA dataset, object detection, aerial images, oriented bounding boxes, OBB, DOTA v1.0, DOTA v1.5, DOTA v2.0, multiscale detection, Ultralytics --- # DOTA Dataset with OBB diff --git a/docs/en/datasets/obb/dota8.md b/docs/en/datasets/obb/dota8.md index 73bb3e12..ddc27ff5 100644 --- a/docs/en/datasets/obb/dota8.md +++ b/docs/en/datasets/obb/dota8.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the versatile DOTA8 dataset, perfect for testing and debugging oriented detection models. Learn how to get started with YOLOv8-obb model training. -keywords: Ultralytics, YOLOv8, oriented detection, DOTA8 dataset, dataset, model training, YAML +description: Explore the DOTA8 dataset - a small, versatile oriented object detection dataset ideal for testing and debugging object detection models using Ultralytics YOLOv8. +keywords: DOTA8 dataset, Ultralytics, YOLOv8, object detection, debugging, training models, oriented object detection, dataset YAML --- # DOTA8 Dataset diff --git a/docs/en/datasets/obb/index.md b/docs/en/datasets/obb/index.md index 76f0fccc..8cb1f72b 100644 --- a/docs/en/datasets/obb/index.md +++ b/docs/en/datasets/obb/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Dive deep into various oriented bounding box (OBB) dataset formats compatible with Ultralytics YOLO models. Grasp the nuances of using and converting datasets to this format. -keywords: Ultralytics, YOLO, oriented bounding boxes, OBB, dataset formats, label formats, DOTA v2, data conversion +description: Discover OBB dataset formats for Ultralytics YOLO models. Learn about their structure, application, and format conversions to enhance your object detection training. +keywords: Oriented Bounding Box, OBB Datasets, YOLO, Ultralytics, Object Detection, Dataset Formats --- # Oriented Bounding Box (OBB) Datasets Overview diff --git a/docs/en/datasets/pose/coco.md b/docs/en/datasets/pose/coco.md index a45dfeef..4dcf7796 100644 --- a/docs/en/datasets/pose/coco.md +++ b/docs/en/datasets/pose/coco.md @@ -1,7 +1,7 @@ --- comments: true -description: Detailed guide on the special COCO-Pose Dataset in Ultralytics. Learn about its key features, structure, and usage in pose estimation tasks with YOLO. -keywords: Ultralytics YOLO, COCO-Pose Dataset, Deep Learning, Pose Estimation, Training Models, Dataset YAML, openpose, YOLO +description: Explore the COCO-Pose dataset for advanced pose estimation. Learn about datasets, pretrained models, metrics, and applications for training with YOLO. +keywords: COCO-Pose, pose estimation, dataset, keypoints, COCO Keypoints 2017, YOLO, deep learning, computer vision --- # COCO-Pose Dataset diff --git a/docs/en/datasets/pose/coco8-pose.md b/docs/en/datasets/pose/coco8-pose.md index 2201721f..61354c38 100644 --- a/docs/en/datasets/pose/coco8-pose.md +++ b/docs/en/datasets/pose/coco8-pose.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the versatile COCO8-Pose dataset, perfect for testing and debugging pose detection models. Learn how to get started with YOLOv8-pose model training. -keywords: Ultralytics, YOLOv8, pose detection, COCO8-Pose dataset, dataset, model training, YAML +description: Explore the compact, versatile COCO8-Pose dataset for testing and debugging object detection models. Ideal for quick experiments with YOLOv8. +keywords: COCO8-Pose, Ultralytics, pose detection dataset, object detection, YOLOv8, machine learning, computer vision, training data --- # COCO8-Pose Dataset diff --git a/docs/en/datasets/pose/index.md b/docs/en/datasets/pose/index.md index 89718e71..973c4e14 100644 --- a/docs/en/datasets/pose/index.md +++ b/docs/en/datasets/pose/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Understand the YOLO pose dataset format and learn to use Ultralytics datasets to train your pose estimation models effectively. -keywords: Ultralytics, YOLO, pose estimation, datasets, training, YAML, keypoints, COCO-Pose, COCO8-Pose, data conversion +description: Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset. +keywords: pose estimation, Ultralytics, YOLO format, COCO-Pose, COCO8-Pose, Tiger-Pose, dataset conversion, keypoints --- # Pose Estimation Datasets Overview diff --git a/docs/en/datasets/pose/tiger-pose.md b/docs/en/datasets/pose/tiger-pose.md index 4676f283..f8fe40d1 100644 --- a/docs/en/datasets/pose/tiger-pose.md +++ b/docs/en/datasets/pose/tiger-pose.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the versatile Tiger-Pose dataset, perfect for testing and debugging pose detection models. Learn how to get started with YOLOv8-pose model training. -keywords: Ultralytics, YOLOv8, pose detection, COCO8-Pose dataset, dataset, model training, YAML +description: Explore Ultralytics Tiger-Pose dataset with 263 diverse images. Ideal for testing, training, and refining pose estimation algorithms. +keywords: Ultralytics, Tiger-Pose, dataset, pose estimation, YOLOv8, training data, machine learning, neural networks --- # Tiger-Pose Dataset diff --git a/docs/en/datasets/segment/carparts-seg.md b/docs/en/datasets/segment/carparts-seg.md index ad261363..86160565 100644 --- a/docs/en/datasets/segment/carparts-seg.md +++ b/docs/en/datasets/segment/carparts-seg.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the Carparts Segmentation using Ultralytics YOLOv8 Dataset, a large-scale benchmark for Vehicle Maintenance, and learn how to train a YOLO model using it. -keywords: CarParts Segmentation Dataset, Ultralytics, Vehicle Analytics, Spare parts Detection, YOLO model, object detection, object tracking +description: Explore Roboflow's Carparts Segmentation Dataset for automotive AI applications. Enhance your segmentation models with rich, annotated data. +keywords: Carparts Segmentation Dataset, Roboflow, computer vision, automotive AI, vehicle maintenance, Ultralytics --- # Roboflow Universe Carparts Segmentation Dataset diff --git a/docs/en/datasets/segment/coco.md b/docs/en/datasets/segment/coco.md index c478516d..ef6ce217 100644 --- a/docs/en/datasets/segment/coco.md +++ b/docs/en/datasets/segment/coco.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the possibilities of the COCO-Seg dataset, designed for object instance segmentation and YOLO model training. Discover key features, dataset structure, applications, and usage. -keywords: Ultralytics, YOLO, COCO-Seg, dataset, instance segmentation, model training, deep learning, computer vision +description: Explore the COCO-Seg dataset, an extension of COCO, with detailed segmentation annotations. Learn how to train YOLO models with COCO-Seg. +keywords: COCO-Seg, dataset, YOLO models, instance segmentation, object detection, COCO dataset, YOLOv8, computer vision, Ultralytics, machine learning --- # COCO-Seg Dataset diff --git a/docs/en/datasets/segment/coco8-seg.md b/docs/en/datasets/segment/coco8-seg.md index ff367aed..7283773e 100644 --- a/docs/en/datasets/segment/coco8-seg.md +++ b/docs/en/datasets/segment/coco8-seg.md @@ -1,7 +1,7 @@ --- comments: true -description: 'Discover the COCO8-Seg: a compact but versatile instance segmentation dataset ideal for testing Ultralytics YOLOv8 detection approaches. Complete usage guide included.' -keywords: COCO8-Seg dataset, Ultralytics, YOLOv8, instance segmentation, dataset configuration, YAML, YOLOv8n-seg model, mosaiced dataset images +description: Discover the versatile and manageable COCO8-Seg dataset by Ultralytics, ideal for testing and debugging segmentation models or new detection approaches. +keywords: COCO8-Seg, Ultralytics, segmentation dataset, YOLOv8, COCO 2017, model training, computer vision, dataset configuration --- # COCO8-Seg Dataset diff --git a/docs/en/datasets/segment/crack-seg.md b/docs/en/datasets/segment/crack-seg.md index 86898b22..3cbb0b25 100644 --- a/docs/en/datasets/segment/crack-seg.md +++ b/docs/en/datasets/segment/crack-seg.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the Crack Segmentation using Ultralytics YOLOv8 Dataset, a large-scale benchmark for road safety analysis, and learn how to train a YOLO model using it. -keywords: Crack Segmentation Dataset, Ultralytics, road cracks monitoring, YOLO model, object detection, object tracking, road safety +description: Explore the extensive Roboflow Crack Segmentation Dataset, perfect for transportation and public safety studies or self-driving car model development. +keywords: Roboflow, Crack Segmentation Dataset, Ultralytics, transportation safety, public safety, self-driving cars, computer vision, road safety, infrastructure maintenance, dataset --- # Roboflow Universe Crack Segmentation Dataset diff --git a/docs/en/datasets/segment/index.md b/docs/en/datasets/segment/index.md index 23f29da3..9da781a9 100644 --- a/docs/en/datasets/segment/index.md +++ b/docs/en/datasets/segment/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how Ultralytics YOLO supports various dataset formats for instance segmentation. This guide includes information on data conversions, auto-annotations, and dataset usage. -keywords: Ultralytics, YOLO, Instance Segmentation, Dataset, YAML, COCO, Auto-Annotation, Image Segmentation +description: Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models. +keywords: Ultralytics, YOLO, instance segmentation, dataset formats, auto-annotation, COCO, segmentation models, training data --- # Instance Segmentation Datasets Overview diff --git a/docs/en/datasets/segment/package-seg.md b/docs/en/datasets/segment/package-seg.md index 1265dabc..233b8d55 100644 --- a/docs/en/datasets/segment/package-seg.md +++ b/docs/en/datasets/segment/package-seg.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the Package Segmentation using Ultralytics YOLOv8 Dataset, a large-scale benchmark for logistics, and learn how to train a YOLO model using it. -keywords: Packet Segmentation Dataset, Ultralytics, Manufacturing, Logistics, YOLO model, object detection, object tracking +description: Explore Roboflow's Package Segmentation Dataset. Optimize logistics and enhance vision models with curated images for package identification and sorting. +keywords: Roboflow, Package Segmentation Dataset, computer vision, package identification, logistics, warehouse automation, segmentation models, training data --- # Roboflow Universe Package Segmentation Dataset diff --git a/docs/en/datasets/track/index.md b/docs/en/datasets/track/index.md index 68706e0a..03e8b8e3 100644 --- a/docs/en/datasets/track/index.md +++ b/docs/en/datasets/track/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Understand multi-object tracking datasets, upcoming features and how to use them with YOLO in Python and CLI. Dive in now!. -keywords: Ultralytics, YOLO, multi-object tracking, datasets, detection, segmentation, pose models, Python, CLI +description: Learn how to use Multi-Object Tracking with YOLO. Explore dataset formats and see upcoming features for training trackers. Start with Python or CLI examples. +keywords: YOLO, Multi-Object Tracking, Tracking Datasets, Python Tracking Example, CLI Tracking Example, Object Detection, Ultralytics, AI, Machine Learning --- # Multi-object Tracking Datasets Overview diff --git a/docs/en/guides/analytics.md b/docs/en/guides/analytics.md index c1fad80f..dc9bf8e7 100644 --- a/docs/en/guides/analytics.md +++ b/docs/en/guides/analytics.md @@ -1,7 +1,7 @@ --- comments: true -description: Comprehensive Guide to Understanding and Creating Line Graphs, Bar Plots, and Pie Charts -keywords: Analytics, Data Visualization, Line Graphs, Bar Plots, Pie Charts, Quickstart Guide, Data Analysis, Python, Visualization Tools +description: Learn to create line graphs, bar plots, and pie charts using Python with guided instructions and code snippets. Maximize your data visualization skills!. +keywords: Ultralytics, YOLOv8, data visualization, line graphs, bar plots, pie charts, Python, analytics, tutorial, guide --- # Analytics using Ultralytics YOLOv8 📊 diff --git a/docs/en/guides/azureml-quickstart.md b/docs/en/guides/azureml-quickstart.md index 11fb9c5b..554243ee 100644 --- a/docs/en/guides/azureml-quickstart.md +++ b/docs/en/guides/azureml-quickstart.md @@ -1,7 +1,7 @@ --- comments: true -description: Step-by-step Quickstart Guide to Running YOLOv8 Object Detection Models on AzureML for Fast Prototyping and Testing -keywords: Ultralytics, YOLOv8, Object Detection, Azure Machine Learning, Quickstart Guide, Prototype, Compute Instance, Terminal, Notebook, IPython Kernel, CLI, Python SDK +description: Learn how to run YOLOv8 on AzureML. Quickstart instructions for terminal and notebooks to harness Azure's cloud computing for efficient model training. +keywords: YOLOv8, AzureML, machine learning, cloud computing, quickstart, terminal, notebooks, model training, Python SDK, AI, Ultralytics --- # YOLOv8 🚀 on AzureML diff --git a/docs/en/guides/conda-quickstart.md b/docs/en/guides/conda-quickstart.md index 184a5601..6a7f7b4c 100644 --- a/docs/en/guides/conda-quickstart.md +++ b/docs/en/guides/conda-quickstart.md @@ -1,7 +1,7 @@ --- comments: true -description: Comprehensive guide to setting up and using Ultralytics YOLO models in a Conda environment. Learn how to install the package, manage dependencies, and get started with object detection projects. -keywords: Ultralytics, YOLO, Conda, environment setup, object detection, package installation, deep learning, machine learning, guide +description: Learn to set up a Conda environment for Ultralytics projects. Follow our comprehensive guide for easy installation and initialization. +keywords: Ultralytics, Conda, setup, installation, environment, guide, machine learning, data science --- # Conda Quickstart Guide for Ultralytics diff --git a/docs/en/guides/coral-edge-tpu-on-raspberry-pi.md b/docs/en/guides/coral-edge-tpu-on-raspberry-pi.md index 1ed72b3e..bc1e2c35 100644 --- a/docs/en/guides/coral-edge-tpu-on-raspberry-pi.md +++ b/docs/en/guides/coral-edge-tpu-on-raspberry-pi.md @@ -1,7 +1,7 @@ --- comments: true -description: Guide on how to use Ultralytics with a Coral Edge TPU on a Raspberry Pi for increased inference performance. -keywords: Ultralytics, YOLOv8, Object Detection, Coral, Edge TPU, Raspberry Pi, embedded, edge compute, sbc, accelerator, mobile +description: Learn how to boost your Raspberry Pi's ML performance using Coral Edge TPU with Ultralytics YOLOv8. Follow our detailed setup and installation guide. +keywords: Coral Edge TPU, Raspberry Pi, YOLOv8, Ultralytics, TensorFlow Lite, ML inference, machine learning, AI, installation guide, setup tutorial --- # Coral Edge TPU on a Raspberry Pi with Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/defining-project-goals.md b/docs/en/guides/defining-project-goals.md index 6827dee7..19d46186 100644 --- a/docs/en/guides/defining-project-goals.md +++ b/docs/en/guides/defining-project-goals.md @@ -1,7 +1,7 @@ --- comments: true -description: A detailed guide on defining the problem and setting objectives in a computer vision project, highlighting the importance of clear problem statements and measurable objectives. -keywords: Computer Vision Project, Defining Problems, Setting Objectives, SMART Objectives, Project Scope, How Does Computer Vision Work, Computer Vision Techniques, Computer Vision Basics +description: Learn how to define clear goals and objectives for your computer vision project with our practical guide. Includes tips on problem statements, measurable objectives, and key decisions. +keywords: computer vision, project planning, problem statement, measurable objectives, dataset preparation, model selection, YOLOv8, Ultralytics --- # A Practical Guide for Defining Your Computer Vision Project diff --git a/docs/en/guides/distance-calculation.md b/docs/en/guides/distance-calculation.md index 8a5269f7..c4933194 100644 --- a/docs/en/guides/distance-calculation.md +++ b/docs/en/guides/distance-calculation.md @@ -1,7 +1,7 @@ --- comments: true -description: Distance Calculation Using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Distance Calculation, Object Tracking, Notebook, IPython Kernel, CLI, Python SDK +description: Learn how to calculate distances between objects using Ultralytics YOLOv8 for accurate spatial positioning and scene understanding. +keywords: Ultralytics, YOLOv8, distance calculation, computer vision, object tracking, spatial positioning --- # Distance Calculation using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/docker-quickstart.md b/docs/en/guides/docker-quickstart.md index dd9eddab..4469e69f 100644 --- a/docs/en/guides/docker-quickstart.md +++ b/docs/en/guides/docker-quickstart.md @@ -1,7 +1,7 @@ --- comments: true -description: Complete guide to setting up and using Ultralytics YOLO models with Docker. Learn how to install Docker, manage GPU support, and run YOLO models in isolated containers. -keywords: Ultralytics, YOLO, Docker, GPU, containerization, object detection, package installation, deep learning, machine learning, guide +description: Learn to effortlessly set up Ultralytics in Docker, from installation to running with CPU/GPU support. Follow our comprehensive guide for seamless container experience. +keywords: Ultralytics, Docker, Quickstart Guide, CPU support, GPU support, NVIDIA Docker, container setup, Docker environment, Docker Hub, Ultralytics projects --- # Docker Quickstart Guide for Ultralytics diff --git a/docs/en/guides/heatmaps.md b/docs/en/guides/heatmaps.md index 4b3d77ac..bfe5a8f9 100644 --- a/docs/en/guides/heatmaps.md +++ b/docs/en/guides/heatmaps.md @@ -1,7 +1,7 @@ --- comments: true -description: Advanced Data Visualization with Ultralytics YOLOv8 Heatmaps -keywords: Ultralytics, YOLOv8, Advanced Data Visualization, Heatmap Technology, Object Detection and Tracking, Jupyter Notebook, Python SDK, Command Line Interface +description: Transform complex data into insightful heatmaps using Ultralytics YOLOv8. Discover patterns, trends, and anomalies with vibrant visualizations. +keywords: Ultralytics, YOLOv8, heatmaps, data visualization, data analysis, complex data, patterns, trends, anomalies --- # Advanced Data Visualization: Heatmaps using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/hyperparameter-tuning.md b/docs/en/guides/hyperparameter-tuning.md index 67763edb..36d4c4da 100644 --- a/docs/en/guides/hyperparameter-tuning.md +++ b/docs/en/guides/hyperparameter-tuning.md @@ -1,7 +1,7 @@ --- comments: true -description: Dive into hyperparameter tuning in Ultralytics YOLO models. Learn how to optimize performance using the Tuner class and genetic evolution. -keywords: Ultralytics, YOLO, Hyperparameter Tuning, Tuner Class, Genetic Evolution, Optimization +description: Master hyperparameter tuning for Ultralytics YOLO to optimize model performance with our comprehensive guide. Elevate your machine learning models today!. +keywords: Ultralytics YOLO, hyperparameter tuning, machine learning, model optimization, genetic algorithms, learning rate, batch size, epochs --- # Ultralytics YOLO Hyperparameter Tuning Guide diff --git a/docs/en/guides/index.md b/docs/en/guides/index.md index 0dd17cf4..99f5fa4f 100644 --- a/docs/en/guides/index.md +++ b/docs/en/guides/index.md @@ -1,7 +1,7 @@ --- comments: true -description: In-depth exploration of Ultralytics' YOLO. Learn about the YOLO object detection model, how to train it on custom data, multi-GPU training, exporting, predicting, deploying, and more. -keywords: Ultralytics, YOLO, Deep Learning, Object detection, PyTorch, Tutorial, Multi-GPU training, Custom data training, SAHI, Tiled Inference +description: Master YOLO with Ultralytics tutorials covering training, deployment and optimization. Find solutions, improve metrics, and deploy with ease!. +keywords: Ultralytics, YOLO, tutorials, guides, object detection, deep learning, PyTorch, training, deployment, optimization, computer vision --- # Comprehensive Tutorials to Ultralytics YOLO diff --git a/docs/en/guides/instance-segmentation-and-tracking.md b/docs/en/guides/instance-segmentation-and-tracking.md index 90aaf4ba..57558578 100644 --- a/docs/en/guides/instance-segmentation-and-tracking.md +++ b/docs/en/guides/instance-segmentation-and-tracking.md @@ -1,7 +1,7 @@ --- comments: true -description: Instance Segmentation with Object Tracking using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Instance Segmentation, Object Detection, Object Tracking, Bounding Box, Computer Vision, Notebook, IPython Kernel, CLI, Python SDK +description: Master instance segmentation and tracking with Ultralytics YOLOv8. Learn techniques for precise object identification and tracking. +keywords: instance segmentation, tracking, YOLOv8, Ultralytics, object detection, machine learning, computer vision, python --- # Instance Segmentation and Tracking using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/isolating-segmentation-objects.md b/docs/en/guides/isolating-segmentation-objects.md index 41612abd..bbdab176 100644 --- a/docs/en/guides/isolating-segmentation-objects.md +++ b/docs/en/guides/isolating-segmentation-objects.md @@ -1,7 +1,7 @@ --- comments: true -description: A concise guide on isolating segmented objects using Ultralytics. -keywords: Ultralytics, YOLO, segmentation, Python, object detection, inference, dataset, prediction, instance segmentation, contours, binary mask, object mask, image processing +description: Learn to extract isolated objects from inference results using Ultralytics Predict Mode. Step-by-step guide for segmentation object isolation. +keywords: Ultralytics, segmentation, object isolation, Predict Mode, YOLOv8, machine learning, object detection, binary mask, image processing --- # Isolating Segmentation Objects diff --git a/docs/en/guides/kfold-cross-validation.md b/docs/en/guides/kfold-cross-validation.md index a7c864f6..e2cb1302 100644 --- a/docs/en/guides/kfold-cross-validation.md +++ b/docs/en/guides/kfold-cross-validation.md @@ -1,7 +1,7 @@ --- comments: true -description: An in-depth guide demonstrating the implementation of K-Fold Cross Validation with the Ultralytics ecosystem for object detection datasets, leveraging Python, YOLO, and sklearn. -keywords: K-Fold cross validation, Ultralytics, YOLO detection format, Python, sklearn, object detection +description: Learn to implement K-Fold Cross Validation for object detection datasets using Ultralytics YOLO. Improve your model's reliability and robustness. +keywords: Ultralytics, YOLO, K-Fold Cross Validation, object detection, sklearn, pandas, PyYaml, machine learning, dataset split --- # K-Fold Cross Validation with Ultralytics diff --git a/docs/en/guides/model-deployment-options.md b/docs/en/guides/model-deployment-options.md index 9b988bda..37113976 100644 --- a/docs/en/guides/model-deployment-options.md +++ b/docs/en/guides/model-deployment-options.md @@ -1,7 +1,7 @@ --- comments: true -description: A guide to help determine which deployment option to choose for your YOLOv8 model, including essential considerations. -keywords: YOLOv8, Deployment, PyTorch, TorchScript, ONNX, OpenVINO, TensorRT, CoreML, TensorFlow, Export +description: Learn about YOLOv8's diverse deployment options to maximize your model's performance. Explore PyTorch, TensorRT, OpenVINO, TF Lite, and more!. +keywords: YOLOv8, deployment options, export formats, PyTorch, TensorRT, OpenVINO, TF Lite, machine learning, model deployment --- # Understanding YOLOv8's Deployment Options diff --git a/docs/en/guides/nvidia-jetson.md b/docs/en/guides/nvidia-jetson.md index 44a139f4..adbdc140 100644 --- a/docs/en/guides/nvidia-jetson.md +++ b/docs/en/guides/nvidia-jetson.md @@ -1,7 +1,7 @@ --- comments: true -description: Quick start guide to setting up YOLOv8 on a NVIDIA Jetson device with comprehensive benchmarks. -keywords: Ultralytics, YOLO, NVIDIA, Jetson, TensorRT, quick start guide, hardware setup, machine learning, AI +description: Learn to deploy Ultralytics YOLOv8 on NVIDIA Jetson devices with our detailed guide. Explore performance benchmarks and maximize AI capabilities. +keywords: Ultralytics, YOLOv8, NVIDIA Jetson, JetPack, AI deployment, performance benchmarks, embedded systems, deep learning, TensorRT, computer vision --- # Quick Start Guide: NVIDIA Jetson with Ultralytics YOLOv8 diff --git a/docs/en/guides/object-blurring.md b/docs/en/guides/object-blurring.md index 2b3d5be5..bad5b476 100644 --- a/docs/en/guides/object-blurring.md +++ b/docs/en/guides/object-blurring.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn to blur objects using Ultralytics YOLOv8 for privacy in images and videos. -keywords: Ultralytics, YOLOv8, Object Detection, Object Blurring, Privacy Protection, Image Processing, Video Analysis, AI, Machine Learning +description: Learn how to use Ultralytics YOLOv8 for real-time object blurring to enhance privacy and focus in your images and videos. +keywords: YOLOv8, object blurring, real-time processing, privacy protection, image manipulation, video editing, Ultralytics --- # Object Blurring using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/object-counting.md b/docs/en/guides/object-counting.md index 934e91c6..82f0c738 100644 --- a/docs/en/guides/object-counting.md +++ b/docs/en/guides/object-counting.md @@ -1,7 +1,7 @@ --- comments: true -description: Object Counting Using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Object Counting, Object Tracking, Notebook, IPython Kernel, CLI, Python SDK +description: Learn to accurately identify and count objects in real-time using Ultralytics YOLOv8 for applications like crowd analysis and surveillance. +keywords: object counting, YOLOv8, Ultralytics, real-time object detection, AI, deep learning, object tracking, crowd analysis, surveillance, resource optimization --- # Object Counting using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/object-cropping.md b/docs/en/guides/object-cropping.md index c03b478e..b9685fe1 100644 --- a/docs/en/guides/object-cropping.md +++ b/docs/en/guides/object-cropping.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to isolate and extract specific objects from images and videos using YOLOv8 object cropping. -keywords: Ultralytics, YOLOv8, Object Detection, Object Cropping, Image Analysis, Video Processing, Data Extraction, Python +description: Learn how to crop and extract objects using Ultralytics YOLOv8 for focused analysis, reduced data volume, and enhanced precision. +keywords: Ultralytics, YOLOv8, object cropping, object detection, image processing, video analysis, AI, machine learning --- # Object Cropping using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md b/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md index 395c96c9..a907a131 100644 --- a/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md +++ b/docs/en/guides/optimizing-openvino-latency-vs-throughput-modes.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to optimize Ultralytics YOLOv8 models with Intel OpenVINO for maximum performance. Discover expert techniques to minimize latency and maximize throughput for real-time object detection applications. -keywords: Ultralytics, YOLOv8, OpenVINO, optimization, latency, throughput, inference, object detection, deep learning, machine learning, guide, Intel +description: Discover how to enhance Ultralytics YOLO model performance using Intel's OpenVINO toolkit. Boost latency and throughput efficiently. +keywords: Ultralytics YOLO, OpenVINO optimization, deep learning, model inference, throughput optimization, latency optimization, AI deployment, Intel's OpenVINO, performance tuning --- # Optimizing OpenVINO Inference for Ultralytics YOLO Models: A Comprehensive Guide diff --git a/docs/en/guides/parking-management.md b/docs/en/guides/parking-management.md index 92741e4d..f28ed1b4 100644 --- a/docs/en/guides/parking-management.md +++ b/docs/en/guides/parking-management.md @@ -1,7 +1,7 @@ --- comments: true -description: Parking Management System Using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Object Counting, Parking lots, Object Tracking, Notebook, IPython Kernel, CLI, Python SDK +description: Optimize parking spaces and enhance safety with Ultralytics YOLOv8. Explore real-time vehicle detection and smart parking solutions. +keywords: parking management, YOLOv8, Ultralytics, vehicle detection, real-time tracking, parking lot optimization, smart parking --- # Parking Management using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/preprocessing_annotated_data.md b/docs/en/guides/preprocessing_annotated_data.md index 6173ec14..08a5a520 100644 --- a/docs/en/guides/preprocessing_annotated_data.md +++ b/docs/en/guides/preprocessing_annotated_data.md @@ -1,7 +1,7 @@ --- comments: true -description: Data preprocessing and augmentation help prepare datasets for model training in computer vision projects. Learn about various techniques for preprocessing annotated data. -keywords: What is Data Preprocessing, Data Preprocessing Techniques, What is Data Augmentation, Data Augmentation Methods, Benefits of Data Augmentation +description: Learn essential data preprocessing techniques for annotated computer vision data, including resizing, normalizing, augmenting, and splitting datasets for optimal model training. +keywords: data preprocessing, computer vision, image resizing, normalization, data augmentation, training dataset, validation dataset, test dataset, YOLOv8 --- # Data Preprocessing Techniques for Annotated Computer Vision Data diff --git a/docs/en/guides/queue-management.md b/docs/en/guides/queue-management.md index fcff5b26..6aa21f71 100644 --- a/docs/en/guides/queue-management.md +++ b/docs/en/guides/queue-management.md @@ -1,7 +1,7 @@ --- comments: true -description: Queue Management Using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Queue Management, Object Counting, Object Tracking, Object Detection, Notebook, IPython Kernel, CLI, Python SDK +description: Learn how to manage and optimize queues using Ultralytics YOLOv8 to reduce wait times and increase efficiency in various real-world applications. +keywords: queue management, YOLOv8, Ultralytics, reduce wait times, efficiency, customer satisfaction, retail, airports, healthcare, banks --- # Queue Management using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/raspberry-pi.md b/docs/en/guides/raspberry-pi.md index 159a6596..d26d107c 100644 --- a/docs/en/guides/raspberry-pi.md +++ b/docs/en/guides/raspberry-pi.md @@ -1,7 +1,7 @@ --- comments: true -description: Quick start guide to setting up YOLOv8 on a Raspberry Pi with comprehensive benchmarks. -keywords: Ultralytics, YOLO, Raspberry Pi, Pi Camera, rpicam, quick start guide, Raspberry Pi 4 vs Raspberry Pi 5, YOLO on Raspberry Pi, hardware setup, machine learning, AI +description: Learn how to deploy Ultralytics YOLOv8 on Raspberry Pi with our comprehensive guide. Get performance benchmarks, setup instructions, and best practices. +keywords: Ultralytics, YOLOv8, Raspberry Pi, setup, guide, benchmarks, computer vision, object detection, NCNN, Docker, camera modules --- # Quick Start Guide: Raspberry Pi with Ultralytics YOLOv8 diff --git a/docs/en/guides/region-counting.md b/docs/en/guides/region-counting.md index 9a87b136..6c2d9ec3 100644 --- a/docs/en/guides/region-counting.md +++ b/docs/en/guides/region-counting.md @@ -1,7 +1,7 @@ --- comments: true -description: Object Counting in Different Region using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Object Counting, Object Tracking, Notebook, IPython Kernel, CLI, Python SDK +description: Learn how to use Ultralytics YOLOv8 for precise object counting in specified regions, enhancing efficiency across various applications. +keywords: object counting, regions, YOLOv8, computer vision, Ultralytics, efficiency, accuracy, automation, real-time, applications, surveillance, monitoring --- # Object Counting in Different Regions using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/sahi-tiled-inference.md b/docs/en/guides/sahi-tiled-inference.md index 23008c3e..4305f66c 100644 --- a/docs/en/guides/sahi-tiled-inference.md +++ b/docs/en/guides/sahi-tiled-inference.md @@ -1,7 +1,7 @@ --- comments: true -description: A comprehensive guide on how to use YOLOv8 with SAHI for standard and sliced inference in object detection tasks. -keywords: YOLOv8, SAHI, Sliced Inference, Object Detection, Ultralytics, Large Scale Image Analysis, High-Resolution Imagery +description: Learn how to implement YOLOv8 with SAHI for sliced inference. Optimize memory usage and enhance detection accuracy for large-scale applications. +keywords: YOLOv8, SAHI, Sliced Inference, Object Detection, Ultralytics, High-resolution Images, Computational Efficiency, Integration Guide --- # Ultralytics Docs: Using YOLOv8 with SAHI for Sliced Inference diff --git a/docs/en/guides/security-alarm-system.md b/docs/en/guides/security-alarm-system.md index 9f6332de..a9a576a8 100644 --- a/docs/en/guides/security-alarm-system.md +++ b/docs/en/guides/security-alarm-system.md @@ -1,7 +1,7 @@ --- comments: true -description: Security Alarm System Project Using Ultralytics YOLOv8. Learn How to implement a Security Alarm System Using ultralytics YOLOv8 -keywords: Object Detection, Security Alarm, Object Tracking, YOLOv8, Computer Vision Projects +description: Enhance your security with real-time object detection using Ultralytics YOLOv8. Reduce false positives and integrate seamlessly with existing systems. +keywords: YOLOv8, Security Alarm System, real-time object detection, Ultralytics, computer vision, integration, false positives --- # Security Alarm System Project Using Ultralytics YOLOv8 diff --git a/docs/en/guides/speed-estimation.md b/docs/en/guides/speed-estimation.md index e72692f7..cfb99626 100644 --- a/docs/en/guides/speed-estimation.md +++ b/docs/en/guides/speed-estimation.md @@ -1,7 +1,7 @@ --- comments: true -description: Speed Estimation Using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Speed Estimation, Object Tracking, Notebook, IPython Kernel, CLI, Python SDK +description: Learn how to estimate object speed using Ultralytics YOLOv8 for applications in traffic control, autonomous navigation, and surveillance. +keywords: Ultralytics YOLOv8, speed estimation, object tracking, computer vision, traffic control, autonomous navigation, surveillance, security --- # Speed Estimation using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/steps-of-a-cv-project.md b/docs/en/guides/steps-of-a-cv-project.md index 11d52a5c..7a89e49b 100644 --- a/docs/en/guides/steps-of-a-cv-project.md +++ b/docs/en/guides/steps-of-a-cv-project.md @@ -1,7 +1,7 @@ --- comments: true -description: A guide that walks through the key steps involved in a computer vision project, including steps like defining the problem, data collection, model training, and deployment. -keywords: Computer Vision Steps, How Does Computer Vision Work, Computer Vision Techniques, Computer Vision Basics, Model Deployment, Data Annotation, Model Evaluation +description: Discover essential steps for launching a successful computer vision project, from defining goals to model deployment and maintenance. Boost your AI capabilities now!. +keywords: Computer Vision, AI, Object Detection, Image Classification, Instance Segmentation, Data Annotation, Model Training, Model Evaluation, Model Deployment --- # Understanding the Key Steps in a Computer Vision Project diff --git a/docs/en/guides/triton-inference-server.md b/docs/en/guides/triton-inference-server.md index ddc9c145..cc1c5b33 100644 --- a/docs/en/guides/triton-inference-server.md +++ b/docs/en/guides/triton-inference-server.md @@ -1,7 +1,7 @@ --- comments: true -description: A step-by-step guide on integrating Ultralytics YOLOv8 with Triton Inference Server for scalable and high-performance deep learning inference deployments. -keywords: YOLOv8, Triton Inference Server, ONNX, Deep Learning Deployment, Scalable Inference, Ultralytics, NVIDIA, Object Detection, Cloud Inference +description: Learn how to integrate Ultralytics YOLOv8 with NVIDIA Triton Inference Server for scalable, high-performance AI model deployment. +keywords: Triton Inference Server, YOLOv8, Ultralytics, NVIDIA, deep learning, AI model deployment, ONNX, scalable inference --- # Triton Inference Server with Ultralytics YOLOv8 diff --git a/docs/en/guides/view-results-in-terminal.md b/docs/en/guides/view-results-in-terminal.md index 60409896..e52116e4 100644 --- a/docs/en/guides/view-results-in-terminal.md +++ b/docs/en/guides/view-results-in-terminal.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to view image results inside a compatible VSCode terminal. -keywords: YOLOv8, VSCode, Terminal, Remote Development, Ultralytics, SSH, Object Detection, Inference, Results, Remote Tunnel, Images, Helpful, Productivity Hack +description: Learn how to visualize YOLO inference results directly in a VSCode terminal using sixel on Linux and MacOS. +keywords: YOLO, inference results, VSCode terminal, sixel, display images, Linux, MacOS --- # Viewing Inference Results in a Terminal diff --git a/docs/en/guides/vision-eye.md b/docs/en/guides/vision-eye.md index 545a91c3..e6931058 100644 --- a/docs/en/guides/vision-eye.md +++ b/docs/en/guides/vision-eye.md @@ -1,7 +1,7 @@ --- comments: true -description: VisionEye View Object Mapping using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Object Tracking, IDetection, VisionEye, Computer Vision, Notebook, IPython Kernel, CLI, Python SDK +description: Discover VisionEye's object mapping and tracking powered by Ultralytics YOLOv8. Simulate human eye precision, track objects, and calculate distances effortlessly. +keywords: VisionEye, YOLOv8, Ultralytics, object mapping, object tracking, distance calculation, computer vision, AI, machine learning, Python, tutorial --- # VisionEye View Object Mapping using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/workouts-monitoring.md b/docs/en/guides/workouts-monitoring.md index 7abe20d8..cadf5b7e 100644 --- a/docs/en/guides/workouts-monitoring.md +++ b/docs/en/guides/workouts-monitoring.md @@ -1,7 +1,7 @@ --- comments: true -description: Workouts Monitoring Using Ultralytics YOLOv8 -keywords: Ultralytics, YOLOv8, Object Detection, Pose Estimation, PushUps, PullUps, Ab workouts, Notebook, IPython Kernel, CLI, Python SDK +description: Optimize your fitness routine with real-time workouts monitoring using Ultralytics YOLOv8. Track and improve your exercise form and performance. +keywords: workouts monitoring, Ultralytics YOLOv8, pose estimation, fitness tracking, exercise assessment, real-time feedback, exercise form, performance metrics --- # Workouts Monitoring using Ultralytics YOLOv8 🚀 diff --git a/docs/en/guides/yolo-common-issues.md b/docs/en/guides/yolo-common-issues.md index 427b6d37..c0b890ef 100644 --- a/docs/en/guides/yolo-common-issues.md +++ b/docs/en/guides/yolo-common-issues.md @@ -1,7 +1,7 @@ --- comments: true -description: A comprehensive guide to troubleshooting common issues encountered while working with YOLOv8 in the Ultralytics ecosystem. -keywords: Troubleshooting, Ultralytics, YOLOv8, Installation Errors, Training Data, Model Performance, Hyperparameter Tuning, Deployment +description: Comprehensive guide to troubleshoot common YOLOv8 issues, from installation errors to model training challenges. Enhance your Ultralytics projects with our expert tips. +keywords: YOLO, YOLOv8, troubleshooting, installation errors, model training, GPU issues, Ultralytics, AI, computer vision, deep learning, Python, CUDA, PyTorch, debugging --- # Troubleshooting Common YOLO Issues diff --git a/docs/en/guides/yolo-performance-metrics.md b/docs/en/guides/yolo-performance-metrics.md index 5024fa4c..cb214e86 100644 --- a/docs/en/guides/yolo-performance-metrics.md +++ b/docs/en/guides/yolo-performance-metrics.md @@ -1,7 +1,7 @@ --- comments: true -description: A comprehensive guide on various performance metrics related to YOLOv8, their significance, and how to interpret them. -keywords: YOLOv8, Performance metrics, Object detection, Intersection over Union (IoU), Average Precision (AP), Mean Average Precision (mAP), Precision, Recall, Validation mode, Ultralytics +description: Explore essential YOLOv8 performance metrics like mAP, IoU, F1 Score, Precision, and Recall. Learn how to calculate and interpret them for model evaluation. +keywords: YOLOv8 performance metrics, mAP, IoU, F1 Score, Precision, Recall, object detection, Ultralytics --- # Performance Metrics Deep Dive diff --git a/docs/en/guides/yolo-thread-safe-inference.md b/docs/en/guides/yolo-thread-safe-inference.md index ce7fa971..836a8234 100644 --- a/docs/en/guides/yolo-thread-safe-inference.md +++ b/docs/en/guides/yolo-thread-safe-inference.md @@ -1,7 +1,7 @@ --- comments: true -description: This guide provides best practices for performing thread-safe inference with YOLO models, ensuring reliable and concurrent predictions in multi-threaded applications. -keywords: thread-safe, YOLO inference, multi-threading, concurrent predictions, YOLO models, Ultralytics, Python threading, safe YOLO usage, AI concurrency +description: Learn how to ensure thread-safe YOLO model inference in Python. Avoid race conditions and run your multi-threaded tasks reliably with best practices. +keywords: YOLO models, thread-safe, Python threading, model inference, concurrency, race conditions, multi-threaded, parallelism, Python GIL --- # Thread-Safe Inference with YOLO Models diff --git a/docs/en/help/CI.md b/docs/en/help/CI.md index 173886fe..a44c4783 100644 --- a/docs/en/help/CI.md +++ b/docs/en/help/CI.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how Ultralytics leverages Continuous Integration (CI) for maintaining high-quality code. Explore our CI tests and the status of these tests for our repositories. -keywords: continuous integration, software development, CI tests, Ultralytics repositories, high-quality code, Docker Deployment, Broken Links, CodeQL, PyPI Publishing +description: Learn about Ultralytics CI actions, Docker deployment, broken link checks, CodeQL analysis, and PyPI publishing to ensure high-quality code. +keywords: Ultralytics, Continuous Integration, CI, Docker deployment, CodeQL, PyPI publishing, code quality, automated testing --- # Continuous Integration (CI) diff --git a/docs/en/help/CLA.md b/docs/en/help/CLA.md index e24e9555..4ef0504a 100644 --- a/docs/en/help/CLA.md +++ b/docs/en/help/CLA.md @@ -1,6 +1,6 @@ --- -description: Understand terms governing contributions to Ultralytics projects including source code, bug fixes, documentation and more. Read our Contributor License Agreement. -keywords: Ultralytics, Contributor License Agreement, Open Source Software, Contributions, Copyright License, Patent License, Moral Rights +description: Review the terms for contributing to Ultralytics projects. Learn about copyright, patent licenses, and moral rights for your contributions. +keywords: Ultralytics, Contributor License Agreement, open source, contributions, copyright license, patent license, moral rights --- # Ultralytics Individual Contributor License Agreement diff --git a/docs/en/help/FAQ.md b/docs/en/help/FAQ.md index 8e4430a8..34db2217 100644 --- a/docs/en/help/FAQ.md +++ b/docs/en/help/FAQ.md @@ -1,7 +1,7 @@ --- comments: true -description: Find solutions to your common Ultralytics YOLO related queries. Learn about hardware requirements, fine-tuning YOLO models, conversion to ONNX/TensorFlow, and more. -keywords: Ultralytics, YOLO, FAQ, hardware requirements, ONNX, TensorFlow, real-time detection, YOLO accuracy +description: Explore common questions and solutions related to Ultralytics YOLO, from hardware requirements to model fine-tuning and real-time detection. +keywords: Ultralytics, YOLO, FAQ, object detection, hardware requirements, fine-tuning, ONNX, TensorFlow, real-time detection, model accuracy --- # Ultralytics YOLO Frequently Asked Questions (FAQ) diff --git a/docs/en/help/code_of_conduct.md b/docs/en/help/code_of_conduct.md index ca895fe8..8c610b6c 100644 --- a/docs/en/help/code_of_conduct.md +++ b/docs/en/help/code_of_conduct.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore Ultralytics community's Code of Conduct, ensuring a supportive, inclusive environment for contributors & members at all levels. Find our guidelines on acceptable behavior & enforcement. -keywords: Ultralytics, code of conduct, community, contribution, behavior guidelines, enforcement, open source contributions +description: Join our welcoming community! Learn about Ultralytics's Code of Conduct to ensure a harassment-free experience for all participants. +keywords: Ultralytics, Contributor Covenant, Code of Conduct, community guidelines, harassment-free, inclusive community, diversity, enforcement policy --- # Ultralytics Contributor Covenant Code of Conduct diff --git a/docs/en/help/contributing.md b/docs/en/help/contributing.md index 4c164c13..eabe2bfc 100644 --- a/docs/en/help/contributing.md +++ b/docs/en/help/contributing.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to contribute to Ultralytics YOLO projects – guidelines for pull requests, reporting bugs, code conduct and CLA signing. -keywords: Ultralytics, YOLO, open-source, contribute, pull request, bug report, coding guidelines, CLA, code of conduct, GitHub +description: Learn how to contribute to Ultralytics YOLO open-source repositories. Follow guidelines for pull requests, code of conduct, and bug reporting. +keywords: Ultralytics, YOLO, open-source, contribution, pull request, code of conduct, bug reporting, GitHub, CLA, Google-style docstrings --- # Contributing to Ultralytics Open-Source YOLO Repositories diff --git a/docs/en/help/environmental-health-safety.md b/docs/en/help/environmental-health-safety.md index 2cf5d8bb..e7efbb90 100644 --- a/docs/en/help/environmental-health-safety.md +++ b/docs/en/help/environmental-health-safety.md @@ -1,7 +1,7 @@ --- comments: false -description: Discover Ultralytics' EHS policy principles and implementation measures. Committed to safety, environment, and continuous improvement for a sustainable future. -keywords: Ultralytics policy, EHS, environment, health and safety, compliance, prevention, continuous improvement, risk management, emergency preparedness, resource allocation, communication +description: Explore Ultralytics' commitment to Environmental, Health, and Safety (EHS) policies. Learn about our measures to ensure safety, compliance, and sustainability. +keywords: Ultralytics, EHS policy, safety, sustainability, environmental impact, health and safety, risk management, compliance, continuous improvement --- # Ultralytics Environmental, Health and Safety (EHS) Policy diff --git a/docs/en/help/index.md b/docs/en/help/index.md index e8f7376b..0638e3fe 100644 --- a/docs/en/help/index.md +++ b/docs/en/help/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Find comprehensive guides and documents on Ultralytics YOLO tasks. Includes FAQs, contributing guides, CI guide, CLA, MRE guide, code of conduct & more. -keywords: Ultralytics, YOLO, guides, documents, FAQ, contributing, CI guide, CLA, MRE guide, code of conduct, EHS policy, security policy, privacy policy +description: Explore the Ultralytics Help Center with guides, FAQs, CI processes, and policies to support your YOLO model experience and contributions. +keywords: Ultralytics, YOLO, help center, documentation, guides, FAQ, contributing, CI, MRE, CLA, code of conduct, security policy, privacy policy --- Welcome to the Ultralytics Help page! We are dedicated to providing you with detailed resources to enhance your experience with the Ultralytics YOLO models and repositories. This page serves as your portal to guides and documentation designed to assist you with various tasks and answer questions you may encounter while engaging with our repositories. diff --git a/docs/en/help/minimum_reproducible_example.md b/docs/en/help/minimum_reproducible_example.md index 47a0cdf0..91023662 100644 --- a/docs/en/help/minimum_reproducible_example.md +++ b/docs/en/help/minimum_reproducible_example.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to create minimum reproducible examples (MRE) for efficient bug reporting in Ultralytics YOLO repositories with this step-by-step guide. -keywords: Ultralytics, YOLO, minimum reproducible example, MRE, bug reports, guide, dependencies, code, troubleshooting +description: Learn how to create effective Minimum Reproducible Examples (MRE) for bug reports in Ultralytics YOLO repositories. Follow our guide for efficient issue resolution. +keywords: Ultralytics, YOLO, Minimum Reproducible Example, MRE, bug report, issue resolution, machine learning, deep learning --- # Creating a Minimum Reproducible Example for Bug Reports in Ultralytics YOLO Repositories diff --git a/docs/en/help/privacy.md b/docs/en/help/privacy.md index 731f432f..8b60d46f 100644 --- a/docs/en/help/privacy.md +++ b/docs/en/help/privacy.md @@ -1,6 +1,6 @@ --- -description: Learn about how Ultralytics collects and uses data to improve user experience, ensure software stability, and address privacy concerns, with options to opt-out. -keywords: Ultralytics, Data Collection, User Privacy, Google Analytics, Sentry, Crash Reporting, Anonymized Data, Privacy Settings, Opt-Out +description: Discover how Ultralytics collects and uses anonymized data to enhance the YOLO Python package while prioritizing user privacy and control. +keywords: Ultralytics, data collection, YOLO, Python package, Google Analytics, Sentry, privacy, anonymized data, user control, crash reporting --- # Data Collection for Ultralytics Python Package diff --git a/docs/en/help/security.md b/docs/en/help/security.md index 01ea1f85..4be3041e 100644 --- a/docs/en/help/security.md +++ b/docs/en/help/security.md @@ -1,6 +1,6 @@ --- -description: Explore Ultralytics' comprehensive security strategies safeguarding user data and systems. Learn about our diverse security tools, including Snyk, GitHub CodeQL, and Dependabot Alerts. -keywords: Ultralytics, Comprehensive Security, user data protection, Snyk, GitHub CodeQL, Dependabot, vulnerability management, coding security practices +description: Learn about the security measures and tools used by Ultralytics to protect user data and systems. Discover how we address vulnerabilities with Snyk, CodeQL, Dependabot, and more. +keywords: Ultralytics security policy, Snyk scanning, CodeQL scanning, Dependabot alerts, secret scanning, vulnerability reporting, GitHub security, open-source security --- # Ultralytics Security Policy diff --git a/docs/en/hub/app/android.md b/docs/en/hub/app/android.md index fb01f1da..be3191bb 100644 --- a/docs/en/hub/app/android.md +++ b/docs/en/hub/app/android.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover real-time object detection on your Android with the Ultralytics App using optimized YOLO models. -keywords: Ultralytics, YOLO, Android app, real-time object detection, TensorFlow Lite, model optimization, AI mobile application +description: Experience real-time object detection on Android with Ultralytics. Leverage YOLO models for efficient and fast object identification. Download now!. +keywords: Ultralytics, Android app, real-time object detection, YOLO models, TensorFlow Lite, FP16 quantization, INT8 quantization, hardware delegates, mobile AI, download app --- # Ultralytics Android App: Real-time Object Detection with YOLO Models @@ -97,4 +97,4 @@ To get started with the Ultralytics Android App, follow these steps: 6. Explore the app's settings to adjust the detection threshold, enable or disable specific object classes, and more. -With the Ultralytics Android App, you now have the power of real-time object detection using YOLO models right at your fingertips. Enjoy exploring the app's features and optimizing its settings to suit your specific use cases. \ No newline at end of file +With the Ultralytics Android App, you now have the power of real-time object detection using YOLO models right at your fingertips. Enjoy exploring the app's features and optimizing its settings to suit your specific use cases. diff --git a/docs/en/hub/app/index.md b/docs/en/hub/app/index.md index c9ec4190..3a5d2f79 100644 --- a/docs/en/hub/app/index.md +++ b/docs/en/hub/app/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Unlock real-time YOLO model detection directly on your mobile! Discover apps for iOS and Android with YOLOv5 and YOLOv8. -keywords: Ultralytics HUB App, YOLOv5, YOLOv8, real-time detection, mobile AI, iOS, Android, Apple Neural Engine, Android GPU, Ultralytics +description: Discover the Ultralytics HUB App for running YOLOv5 and YOLOv8 models on iOS and Android devices with hardware acceleration. +keywords: Ultralytics HUB, YOLO models, mobile app, iOS, Android, hardware acceleration, YOLOv5, YOLOv8, neural engine, GPU, NNAPI --- # Ultralytics HUB App @@ -45,4 +45,4 @@ Welcome to the Ultralytics HUB App! We are excited to introduce this powerful mo - [**iOS**](ios.md): Learn about YOLO CoreML models accelerated on Apple's Neural Engine for iPhones and iPads. - [**Android**](android.md): Explore TFLite acceleration on Android mobile devices. -Get started today by downloading the Ultralytics HUB App on your mobile device and unlock the potential of YOLOv5 and YOLOv8 models on-the-go. Don't forget to check out our comprehensive [HUB Docs](../index.md) for more information on training, deploying, and using your custom models with the Ultralytics HUB platform. \ No newline at end of file +Get started today by downloading the Ultralytics HUB App on your mobile device and unlock the potential of YOLOv5 and YOLOv8 models on-the-go. Don't forget to check out our comprehensive [HUB Docs](../index.md) for more information on training, deploying, and using your custom models with the Ultralytics HUB platform. diff --git a/docs/en/hub/app/ios.md b/docs/en/hub/app/ios.md index 09fee285..d7cbdc06 100644 --- a/docs/en/hub/app/ios.md +++ b/docs/en/hub/app/ios.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover real-time object detection on iOS devices using powerful YOLO models, optimized via Apple Neural Engine. -keywords: Ultralytics, iOS app, YOLO models, real-time detection, object detection, iPhone, iPad, Apple Neural Engine, Core ML, quantization, FP16, INT8 +description: Discover the Ultralytics iOS App for running YOLO models on your iPhone or iPad. Achieve fast, real-time object detection with Apple Neural Engine. +keywords: Ultralytics, iOS App, YOLO models, real-time object detection, Apple Neural Engine, Core ML, FP16 quantization, INT8 quantization, machine learning --- # Ultralytics iOS App: Real-time Object Detection with YOLO Models @@ -87,4 +87,4 @@ To get started with the Ultralytics iOS App, follow these steps: 6. Explore the app's settings to adjust the detection threshold, enable or disable specific object classes, and more. -With the Ultralytics iOS App, you can now leverage the power of YOLO models for real-time object detection on your iPhone or iPad, powered by the Apple Neural Engine and optimized with FP16 or INT8 quantization. \ No newline at end of file +With the Ultralytics iOS App, you can now leverage the power of YOLO models for real-time object detection on your iPhone or iPad, powered by the Apple Neural Engine and optimized with FP16 or INT8 quantization. diff --git a/docs/en/hub/cloud-training.md b/docs/en/hub/cloud-training.md index 99077547..9b345ca9 100644 --- a/docs/en/hub/cloud-training.md +++ b/docs/en/hub/cloud-training.md @@ -1,7 +1,7 @@ --- comments: true -description: Transform model training with Ultralytics HUB Cloud. Efficient, simple cloud-based training for Pro users. -keywords: Ultralytics HUB, cloud training, model training, Pro users, cloud-based ML, machine learning, AI model training +description: Discover Ultralytics HUB Cloud Training for easy model training. Upgrade to Pro and start training with a single click. Streamline your workflow now!. +keywords: Ultralytics HUB, cloud training, model training, Pro Plan, easy AI setup --- # Ultralytics HUB Cloud Training diff --git a/docs/en/hub/datasets.md b/docs/en/hub/datasets.md index 88586d88..e16f8183 100644 --- a/docs/en/hub/datasets.md +++ b/docs/en/hub/datasets.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to seamlessly upload, manage, and leverage datasets for model training with Ultralytics HUB. -keywords: Ultralytics HUB datasets, upload datasets, manage datasets, dataset management, model training, YOLOv5 datasets, YOLOv8 datasets +description: Effortlessly manage, upload, and share your custom datasets on Ultralytics HUB for seamless model training integration. Simplify your workflow today!. +keywords: Ultralytics HUB, datasets, custom datasets, dataset management, model training, upload datasets, share datasets, dataset workflow --- # Ultralytics HUB Datasets @@ -164,4 +164,4 @@ Navigate to the Dataset page of the dataset you want to delete, open the dataset If you change your mind, you can restore the dataset from the [Trash](https://hub.ultralytics.com/trash) page. - ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to Trash button in the sidebar and one to the Restore option of one of the datasets](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/datasets/hub_delete_dataset_3.jpg) \ No newline at end of file + ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to Trash button in the sidebar and one to the Restore option of one of the datasets](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/datasets/hub_delete_dataset_3.jpg) diff --git a/docs/en/hub/index.md b/docs/en/hub/index.md index 935ac754..32d3ba79 100644 --- a/docs/en/hub/index.md +++ b/docs/en/hub/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Launch into AI with Ultralytics HUB! Train, monitor, and deploy YOLO models easily. Start your journey in AI model training today. -keywords: Ultralytics HUB, YOLOv5, YOLOv8, model training, AI platform, object detection, deploy models, train YOLO models +description: Discover Ultralytics HUB, the all-in-one web tool for training and deploying YOLOv5 and YOLOv8 models. Get started quickly with pre-trained models and user-friendly features. +keywords: Ultralytics HUB, YOLO models, train YOLO, YOLOv5, YOLOv8, object detection, model deployment, machine learning, deep learning, AI tools, dataset upload, model training --- # Ultralytics HUB diff --git a/docs/en/hub/inference-api.md b/docs/en/hub/inference-api.md index 1b0ace5f..7938bdb4 100644 --- a/docs/en/hub/inference-api.md +++ b/docs/en/hub/inference-api.md @@ -1,7 +1,7 @@ --- comments: true -description: Effortlessly run YOLO model inferences with Ultralytics HUB Inference API. No local setup required! -keywords: Ultralytics HUB, Inference API, YOLO, model inference, REST API, machine learning, AI model deployment +description: Learn how to run inference using the Ultralytics HUB Inference API. Includes examples in Python and cURL for quick integration. +keywords: Ultralytics, HUB, Inference API, Python, cURL, REST API, YOLO, image processing, machine learning, AI integration --- # Ultralytics HUB Inference API diff --git a/docs/en/hub/integrations.md b/docs/en/hub/integrations.md index 6b3137a8..02bd6194 100644 --- a/docs/en/hub/integrations.md +++ b/docs/en/hub/integrations.md @@ -1,7 +1,7 @@ --- comments: true -description: Master Ultralytics HUB integrations with platforms & formats for seamless dataset imports and model training. -keywords: Ultralytics HUB, Roboflow integration, dataset import, model training, HUB integrations, export models, AI models +description: Explore seamless integrations between Ultralytics HUB and platforms like Roboflow. Learn how to import datasets, train models, and more. +keywords: Ultralytics HUB, Roboflow integration, dataset import, model training, AI, machine learning --- # Ultralytics HUB Integrations diff --git a/docs/en/hub/models.md b/docs/en/hub/models.md index 8b0d0288..bbfa313f 100644 --- a/docs/en/hub/models.md +++ b/docs/en/hub/models.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to efficiently train vision AI models using the user-friendly Ultralytics HUB with YOLOv8. -keywords: train AI models, Ultralytics HUB, YOLOv8, custom datasets, vision AI, model training +description: Explore Ultralytics HUB for easy training, analysis, preview, deployment and sharing of custom vision AI models using YOLOv8. Start training today!. +keywords: Ultralytics HUB, YOLOv8, custom AI models, model training, model deployment, model analysis, vision AI --- # Ultralytics HUB Models @@ -294,4 +294,4 @@ Navigate to the Model page of the model you want to delete, open the model actio If you change your mind, you can restore the model from the [Trash](https://hub.ultralytics.com/trash) page. - ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to the Restore option of one of the models](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/models/hub_delete_model_3.jpg) \ No newline at end of file + ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to the Restore option of one of the models](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/models/hub_delete_model_3.jpg) diff --git a/docs/en/hub/pro.md b/docs/en/hub/pro.md index 30887aa5..25433f8e 100644 --- a/docs/en/hub/pro.md +++ b/docs/en/hub/pro.md @@ -1,7 +1,7 @@ --- comments: true -description: Unlock premium features with the Ultralytics HUB Pro Plan! Get 200GB storage, cloud training, and more. -keywords: Ultralytics HUB Pro, cloud training, inference API, collaboration, Pro Plan benefits, upgrade HUB subscription +description: Discover the enhanced features of Ultralytics HUB Pro Plan including 200GB storage, cloud training, and more. Learn how to upgrade and manage your account balance. +keywords: Ultralytics HUB, Pro Plan, upgrade guide, cloud training, storage, inference API, team collaboration, account balance --- # Ultralytics HUB Pro diff --git a/docs/en/hub/projects.md b/docs/en/hub/projects.md index afdc1255..6cbe7152 100644 --- a/docs/en/hub/projects.md +++ b/docs/en/hub/projects.md @@ -1,7 +1,7 @@ --- comments: true -description: Effortlessly consolidate, manage, and enhance your AI models with Ultralytics HUB projects. Start now! -keywords: Ultralytics HUB, model management, create project, share project, edit project, delete project, model comparison +description: Optimize your model management with Ultralytics HUB Projects. Easily create, share, edit, and compare models for efficient development. +keywords: Ultralytics HUB, model management, create project, share project, edit project, delete project, compare models, reorder models, transfer models --- # Ultralytics HUB Projects diff --git a/docs/en/hub/quickstart.md b/docs/en/hub/quickstart.md index 6afc1707..f86df395 100644 --- a/docs/en/hub/quickstart.md +++ b/docs/en/hub/quickstart.md @@ -1,7 +1,7 @@ --- comments: true -description: Easily train YOLO models with the Ultralytics HUB. Quick sign-up, intuitive use, and ready-to-deploy models!. -keywords: Ultralytics HUB, YOLO models, quickstart, train YOLO, easy signup, deploy models, Ultralytics +description: Get started with Ultralytics HUB! Learn to upload datasets, train YOLO models, and manage projects easily with our user-friendly platform. +keywords: Ultralytics HUB, Quickstart, YOLO models, dataset upload, project management, train models, machine learning --- # Ultralytics HUB Quickstart diff --git a/docs/en/hub/teams.md b/docs/en/hub/teams.md index 316e3d9b..4c6bd8d0 100644 --- a/docs/en/hub/teams.md +++ b/docs/en/hub/teams.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the new Teams feature in Ultralytics HUB! Manage, share, and collaborate efficiently on projects. -keywords: Ultralytics HUB, Teams feature, collaboration, project management, team creation, invite members +description: Discover how to manage and collaborate with team members using Ultralytics HUB Teams. Learn to create, edit, and share resources efficiently. +keywords: Ultralytics HUB, Teams, collaboration, team management, AI projects, resource sharing, Pro Plan, data sharing, project management --- # Ultralytics HUB Teams diff --git a/docs/en/index.md b/docs/en/index.md index 10ca856e..c65c1349 100644 --- a/docs/en/index.md +++ b/docs/en/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore a complete guide to Ultralytics YOLOv8, a high-speed, high-accuracy object detection & image segmentation model. Installation, prediction, training tutorials and more. -keywords: Ultralytics, YOLOv8, object detection, image segmentation, machine learning, deep learning, computer vision, YOLOv8 installation, YOLOv8 prediction, YOLOv8 training, YOLO history, YOLO licenses +description: Discover Ultralytics YOLOv8 - the latest in real-time object detection and image segmentation. Learn its features and maximize its potential in your projects. +keywords: Ultralytics, YOLOv8, object detection, image segmentation, deep learning, computer vision, AI, machine learning, documentation, tutorial ---
diff --git a/docs/en/integrations/amazon-sagemaker.md b/docs/en/integrations/amazon-sagemaker.md index ef071d75..b2caa2fe 100644 --- a/docs/en/integrations/amazon-sagemaker.md +++ b/docs/en/integrations/amazon-sagemaker.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to deploy YOLOv8 models on Amazon SageMaker Endpoints. This guide covers the essentials of AWS environment setup, model preparation, and deployment using AWS CloudFormation and the AWS Cloud Development Kit (CDK). -keywords: YOLOv8, Amazon SageMaker, deploy YOLOv8, AWS deployment, machine learning, real-time inference, AWS CloudFormation, AWS CDK +description: Learn step-by-step how to deploy Ultralytics' YOLOv8 on Amazon SageMaker Endpoints, from setup to testing, for powerful real-time inference with AWS services. +keywords: YOLOv8, Amazon SageMaker, AWS, Ultralytics, machine learning, computer vision, model deployment, AWS CloudFormation, AWS CDK, real-time inference --- # A Guide to Deploying YOLOv8 on Amazon SageMaker Endpoints diff --git a/docs/en/integrations/clearml.md b/docs/en/integrations/clearml.md index 6b480729..a8997220 100644 --- a/docs/en/integrations/clearml.md +++ b/docs/en/integrations/clearml.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to streamline and optimize your YOLOv8 model training with ClearML. This guide provides insights into integrating ClearML's MLOps tools for efficient model training, from initial setup to advanced experiment tracking and model management. -keywords: Ultralytics, YOLOv8, Object Detection, ClearML, Model Training, MLOps, Experiment Tracking, Workflow Optimization +description: Discover how to integrate YOLOv8 with ClearML to streamline your MLOps workflow, automate experiments, and enhance model management effortlessly. +keywords: YOLOv8, ClearML, MLOps, Ultralytics, machine learning, object detection, model training, automation, experiment management --- # Training YOLOv8 with ClearML: Streamlining Your MLOps Workflow diff --git a/docs/en/integrations/comet.md b/docs/en/integrations/comet.md index 5ce8a875..7f9783a1 100644 --- a/docs/en/integrations/comet.md +++ b/docs/en/integrations/comet.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to track and enhance YOLOv8 model training with Comet ML's logging tools, from setup to monitoring key metrics and managing experiments for in-depth analysis. -keywords: Ultralytics, YOLOv8, Object Detection, Comet ML, Model Training, Model Metrics Logging, Experiment Tracking, Offline Experiment Management +description: Learn to simplify the logging of YOLOv8 training with Comet ML. This guide covers installation, setup, real-time insights, and custom logging. +keywords: YOLOv8, Comet ML, logging, machine learning, training, model checkpoints, metrics, installation, configuration, real-time insights, custom logging --- # Elevating YOLOv8 Training: Simplify Your Logging Process with Comet ML diff --git a/docs/en/integrations/coreml.md b/docs/en/integrations/coreml.md index 71cf08d8..e20e6a71 100644 --- a/docs/en/integrations/coreml.md +++ b/docs/en/integrations/coreml.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the process of exporting Ultralytics YOLOv8 models to CoreML format, enabling efficient object detection capabilities for iOS and macOS applications on Apple devices. -keywords: Ultralytics, YOLOv8, CoreML Export, Model Deployment, Apple Devices, Object Detection, Machine Learning +description: Learn how to export YOLOv8 models to CoreML for optimized, on-device machine learning on iOS and macOS. Follow step-by-step instructions. +keywords: CoreML export, YOLOv8 models, CoreML conversion, Ultralytics, iOS object detection, macOS machine learning, AI deployment, machine learning integration --- # CoreML Export for YOLOv8 Models diff --git a/docs/en/integrations/dvc.md b/docs/en/integrations/dvc.md index 087079a0..1572396a 100644 --- a/docs/en/integrations/dvc.md +++ b/docs/en/integrations/dvc.md @@ -1,7 +1,7 @@ --- comments: true -description: This guide provides a step-by-step approach to integrating DVCLive with Ultralytics YOLOv8 for advanced experiment tracking. Learn how to set up your environment, run experiments with varied configurations, and analyze results using DVCLive's powerful tracking and visualization tools. -keywords: DVCLive, Ultralytics, YOLOv8, Machine Learning, Experiment Tracking, Data Version Control, ML Workflows, Model Training, Hyperparameter Tuning +description: Unlock seamless YOLOv8 tracking with DVCLive. Discover how to log, visualize, and analyze experiments for optimized ML model performance. +keywords: YOLOv8, DVCLive, experiment tracking, machine learning, model training, data visualization, Git integration --- # Advanced YOLOv8 Experiment Tracking with DVCLive diff --git a/docs/en/integrations/edge-tpu.md b/docs/en/integrations/edge-tpu.md index 715e0475..b497cfbf 100644 --- a/docs/en/integrations/edge-tpu.md +++ b/docs/en/integrations/edge-tpu.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to uplift your Ultralytics YOLOv8 model's overall performance with the TFLite Edge TPU export format, which is perfect for mobile and embedded devices. -keywords: Ultralytics, YOLOv8, TFLite edge TPU format, Export YOLOv8, Model Deployment, Flexible Deployment +description: Learn how to export YOLOv8 models to TFLite Edge TPU format for high-speed, low-power inferencing on mobile and embedded devices. +keywords: YOLOv8, TFLite Edge TPU, TensorFlow Lite, model export, machine learning, edge computing, neural networks, Ultralytics --- # Learn to Export to TFLite Edge TPU Format From YOLOv8 Model diff --git a/docs/en/integrations/google-colab.md b/docs/en/integrations/google-colab.md index 73af1032..fcd0df43 100644 --- a/docs/en/integrations/google-colab.md +++ b/docs/en/integrations/google-colab.md @@ -1,7 +1,7 @@ --- comments: true -description: A guide on how to train Ultralytics YOLOv8 models quickly, perform data processing directly in your web browser, and collaborate with others using Google Colab. -keywords: Ultralytics YOLOv8, Google Colab, CPU, GPU, TPU, Browser-based, Hardware Acceleration, Machine Learning, Google Colaboratory +description: Learn how to efficiently train Ultralytics YOLOv8 models using Google Colab's powerful cloud-based environment. Start your project with ease. +keywords: YOLOv8, Google Colab, machine learning, deep learning, model training, GPU, TPU, cloud computing, Jupyter Notebook, Ultralytics --- # Accelerating YOLOv8 Projects with Google Colab diff --git a/docs/en/integrations/gradio.md b/docs/en/integrations/gradio.md index 285234f5..f619457b 100644 --- a/docs/en/integrations/gradio.md +++ b/docs/en/integrations/gradio.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn to use Gradio and Ultralytics YOLOv8 for interactive object detection. Upload images and adjust detection parameters in real-time. -keywords: Gradio, Ultralytics YOLOv8, object detection, interactive AI, Python +description: Discover an interactive way to perform object detection with Ultralytics YOLOv8 using Gradio. Upload images and adjust settings for real-time results. +keywords: Ultralytics, YOLOv8, Gradio, object detection, interactive, real-time, image processing, AI --- # Interactive Object Detection: Gradio & Ultralytics YOLOv8 🚀 diff --git a/docs/en/integrations/index.md b/docs/en/integrations/index.md index d6dcc95f..0808d18c 100644 --- a/docs/en/integrations/index.md +++ b/docs/en/integrations/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore Ultralytics integrations with tools for dataset management, model optimization, ML workflows automation, experiment tracking, version control, and more. Learn about our support for various model export formats for deployment. -keywords: Ultralytics integrations, Roboflow, Neural Magic, ClearML, Comet ML, DVC, Ultralytics HUB, MLFlow, Neptune, Ray Tune, TensorBoard, W&B, model export formats, PyTorch, TorchScript, ONNX, OpenVINO, TensorRT, CoreML, TF SavedModel, TF GraphDef, TF Lite, TF Edge TPU, TF.js, PaddlePaddle, NCNN +description: Discover Ultralytics integrations for streamlined ML workflows, dataset management, optimized model training, and robust deployment solutions. +keywords: Ultralytics, machine learning, ML workflows, dataset management, model training, model deployment, Roboflow, ClearML, Comet ML, DVC, MLFlow, Ultralytics HUB, Neptune, Ray Tune, TensorBoard, Weights & Biases, Amazon SageMaker, Paperspace Gradient, Google Colab, Neural Magic, Gradio, TorchScript, ONNX, OpenVINO, TensorRT, CoreML, TF SavedModel, TF GraphDef, TFLite, TFLite Edge TPU, TF.js, PaddlePaddle, NCNN --- # Ultralytics Integrations diff --git a/docs/en/integrations/mlflow.md b/docs/en/integrations/mlflow.md index cf67d803..7cae9d30 100644 --- a/docs/en/integrations/mlflow.md +++ b/docs/en/integrations/mlflow.md @@ -1,7 +1,7 @@ --- comments: true -description: Uncover the utility of MLflow for effective experiment logging in your Ultralytics YOLO projects. -keywords: ultralytics docs, YOLO, MLflow, experiment logging, metrics tracking, parameter logging, artifact logging +description: Learn how to set up and use MLflow logging with Ultralytics YOLO for enhanced experiment tracking, model reproducibility, and performance improvements. +keywords: MLflow, Ultralytics YOLO, machine learning, experiment tracking, metrics logging, parameter logging, artifact logging --- # MLflow Integration for Ultralytics YOLO diff --git a/docs/en/integrations/ncnn.md b/docs/en/integrations/ncnn.md index e6ae1e6e..d4058425 100644 --- a/docs/en/integrations/ncnn.md +++ b/docs/en/integrations/ncnn.md @@ -1,7 +1,7 @@ --- comments: true -description: Uncover how to improve your Ultralytics YOLOv8 model's performance using the NCNN export format that is suitable for devices with limited computation resources. -keywords: Ultralytics, YOLOv8, NCNN Export, Export YOLOv8, Model Deployment +description: Optimize YOLOv8 models for mobile and embedded devices by exporting to NCNN format. Enhance performance in resource-constrained environments. +keywords: Ultralytics, YOLOv8, NCNN, model export, machine learning, deployment, mobile, embedded systems, deep learning, AI models --- # How to Export to NCNN from YOLOv8 for Smooth Deployment diff --git a/docs/en/integrations/neural-magic.md b/docs/en/integrations/neural-magic.md index 16fbf892..03b0900e 100644 --- a/docs/en/integrations/neural-magic.md +++ b/docs/en/integrations/neural-magic.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to deploy your YOLOv8 models rapidly using Neural Magic's DeepSparse. This guide focuses on integrating Ultralytics YOLOv8 with the DeepSparse Engine for high-speed, CPU-based inference, leveraging advanced neural network sparsity techniques. -keywords: YOLOv8, DeepSparse Engine, Ultralytics, CPU Inference, Neural Network Sparsity, Object Detection, Model Optimization +description: Enhance YOLOv8 performance using Neural Magic's DeepSparse Engine. Learn how to deploy and benchmark YOLOv8 models on CPUs for efficient object detection. +keywords: YOLOv8, DeepSparse, Neural Magic, model optimization, object detection, inference speed, CPU performance, sparsity, pruning, quantization --- # Optimizing YOLOv8 Inferences with Neural Magic's DeepSparse Engine diff --git a/docs/en/integrations/onnx.md b/docs/en/integrations/onnx.md index f2612b42..4f5fa644 100644 --- a/docs/en/integrations/onnx.md +++ b/docs/en/integrations/onnx.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore how to improve your Ultralytics YOLOv8 model's performance and interoperability using the ONNX (Open Neural Network Exchange) export format that is suitable for diverse hardware and software environments. -keywords: Ultralytics, YOLOv8, ONNX Format, Export YOLOv8, CUDA Support, Model Deployment +description: Learn how to export YOLOv8 models to ONNX format for flexible deployment across various platforms with enhanced performance. +keywords: YOLOv8, ONNX, model export, Ultralytics, ONNX Runtime, machine learning, model deployment, computer vision, deep learning --- # ONNX Export for YOLOv8 Models diff --git a/docs/en/integrations/openvino.md b/docs/en/integrations/openvino.md index f1a80355..badbd4d3 100644 --- a/docs/en/integrations/openvino.md +++ b/docs/en/integrations/openvino.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the power of deploying your Ultralytics YOLOv8 model using OpenVINO format for up to 10x speedup vs PyTorch. -keywords: ultralytics docs, YOLOv8, export YOLOv8, YOLOv8 model deployment, exporting YOLOv8, OpenVINO, OpenVINO format +description: Learn to export YOLOv8 models to OpenVINO format for up to 3x CPU speedup and hardware acceleration on Intel GPU and NPU. +keywords: YOLOv8, OpenVINO, model export, Intel, AI inference, CPU speedup, GPU acceleration, NPU, deep learning --- # Intel OpenVINO Export diff --git a/docs/en/integrations/paddlepaddle.md b/docs/en/integrations/paddlepaddle.md index 8dc6e118..73579a97 100644 --- a/docs/en/integrations/paddlepaddle.md +++ b/docs/en/integrations/paddlepaddle.md @@ -1,7 +1,7 @@ --- comments: true -description: This guide explains how to export Ultralytics YOLOv8 models to the PaddlePaddle format for wide device support and harnessing the power of Baidu's ML framework. -keywords: Ultralytics, YOLOv8, PaddlePaddle Export, Model Deployment, Flexible Deployment, Industrial-Grade Deep Learning, Baidu, Cross-Platform Compatibility +description: Learn how to export YOLOv8 models to PaddlePaddle format for enhanced performance, flexibility, and deployment across various platforms and devices. +keywords: YOLOv8, PaddlePaddle, export models, computer vision, deep learning, model deployment, performance optimization --- # How to Export to PaddlePaddle Format from YOLOv8 Models @@ -119,4 +119,4 @@ In this guide, we explored the process of exporting Ultralytics YOLOv8 models to For further details on usage, visit the [PaddlePaddle official documentation](https://www.paddlepaddle.org.cn/documentation/docs/en/guides/index_en.html) -Want to explore more ways to integrate your Ultralytics YOLOv8 models? Our [integration guide page](index.md) explores various options, equipping you with valuable resources and insights. +Want to explore more ways to integrate your Ultralytics YOLOv8 models? Our [integration guide page](index.md) explores various options, equipping you with valuable resources and insights. diff --git a/docs/en/integrations/paperspace.md b/docs/en/integrations/paperspace.md index 3ce8a1b3..3efb2626 100644 --- a/docs/en/integrations/paperspace.md +++ b/docs/en/integrations/paperspace.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore how to enhance your YOLOv8 projects with the Paperspace Gradient integration for streamlined model training, evaluation, and deployment on the cloud. -keywords: Ultralytics, YOLOv8, Object Detection, Paperspace, Paperspace Gradient, Model Training, Model Deployment, Cloud Computing +description: Simplify YOLOv8 training with Paperspace Gradient's all-in-one MLOps platform. Access GPUs, automate workflows, and deploy with ease. +keywords: YOLOv8, Paperspace Gradient, MLOps, machine learning, training, GPUs, Jupyter notebooks, model deployment, AI, cloud platform --- # YOLOv8 Model Training Made Simple with Paperspace Gradient diff --git a/docs/en/integrations/ray-tune.md b/docs/en/integrations/ray-tune.md index 5cd63ecc..57b63952 100644 --- a/docs/en/integrations/ray-tune.md +++ b/docs/en/integrations/ray-tune.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to streamline hyperparameter tuning for YOLOv8 models with Ray Tune. Learn to accelerate tuning, integrate with Weights & Biases, and analyze results. -keywords: Ultralytics, YOLOv8, Ray Tune, hyperparameter tuning, machine learning optimization, Weights & Biases integration, result analysis +description: Optimize YOLOv8 model performance with Ray Tune. Learn efficient hyperparameter tuning using advanced search strategies, parallelism, and early stopping. +keywords: YOLOv8, Ray Tune, hyperparameter tuning, model optimization, machine learning, deep learning, AI, Ultralytics, Weights & Biases --- # Efficient Hyperparameter Tuning with Ray Tune and YOLOv8 diff --git a/docs/en/integrations/roboflow.md b/docs/en/integrations/roboflow.md index 19b20a62..e0fee26a 100644 --- a/docs/en/integrations/roboflow.md +++ b/docs/en/integrations/roboflow.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use Roboflow with Ultralytics for labeling and managing images for use in training, and for evaluating model performance. -keywords: Ultralytics, YOLOv8, Roboflow, vector analysis, confusion matrix, data management, image labeling +description: Learn how to gather, label, and deploy data for custom YOLOv8 models using Roboflow's powerful tools. Optimize your computer vision pipeline effortlessly. +keywords: Roboflow, YOLOv8, data labeling, computer vision, model training, model deployment, dataset management, automated image annotation, AI tools --- # Roboflow diff --git a/docs/en/integrations/tensorboard.md b/docs/en/integrations/tensorboard.md index 32e8886e..651420cf 100644 --- a/docs/en/integrations/tensorboard.md +++ b/docs/en/integrations/tensorboard.md @@ -1,7 +1,7 @@ --- comments: true -description: Walk through the integration of YOLOv8 with TensorBoard to be able to use TensorFlow's visualization toolkit for enhanced model training analysis, offering capabilities like metric tracking, model graph visualization, and more. -keywords: TensorBoard, YOLOv8, Visualization, TensorFlow, Training Analysis, Metric Tracking, Model Graphs, Experimentation, Ultralytics +description: Learn how to integrate YOLOv8 with TensorBoard for real-time visual insights into your model's training metrics, performance graphs, and debugging workflows. +keywords: YOLOv8, TensorBoard, model training, visualization, machine learning, deep learning, Ultralytics, training metrics, performance analysis --- # Gain Visual Insights with YOLOv8's Integration with TensorBoard diff --git a/docs/en/integrations/tensorrt.md b/docs/en/integrations/tensorrt.md index 43446cfd..958ad44f 100644 --- a/docs/en/integrations/tensorrt.md +++ b/docs/en/integrations/tensorrt.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the power and flexibility of exporting Ultralytics YOLOv8 models to TensorRT format for enhanced performance and efficiency on NVIDIA GPUs. -keywords: Ultralytics, YOLOv8, TensorRT Export, Model Deployment, GPU Acceleration, NVIDIA Support, CUDA Deployment +description: Learn to convert YOLOv8 models to TensorRT for high-speed NVIDIA GPU inference. Boost efficiency and deploy optimized models with our step-by-step guide. +keywords: YOLOv8, TensorRT, NVIDIA, GPU, deep learning, model optimization, high-speed inference, model export --- # TensorRT Export for YOLOv8 Models diff --git a/docs/en/integrations/tf-graphdef.md b/docs/en/integrations/tf-graphdef.md index eb396ac3..bb97be54 100644 --- a/docs/en/integrations/tf-graphdef.md +++ b/docs/en/integrations/tf-graphdef.md @@ -1,7 +1,7 @@ --- comments: true -description: A guide that walks you step-by-step through how to export Ultralytics YOLOv8 models to TF GraphDef format for smooth deployment and efficient model performance. -keywords: Ultralytics, YOLOv8, TF GraphDef Export, Model Deployment, TensorFlow Ecosystem, Cross-Platform Compatibility, Performance Optimization +description: Learn how to export YOLOv8 models to the TF GraphDef format for seamless deployment on various platforms, including mobile and web. +keywords: YOLOv8, export, TensorFlow, GraphDef, model deployment, TensorFlow Serving, TensorFlow Lite, TensorFlow.js, machine learning, AI, computer vision --- # How to Export to TF GraphDef from YOLOv8 for Deployment diff --git a/docs/en/integrations/tf-savedmodel.md b/docs/en/integrations/tf-savedmodel.md index e77a95ce..9b3c0e61 100644 --- a/docs/en/integrations/tf-savedmodel.md +++ b/docs/en/integrations/tf-savedmodel.md @@ -1,7 +1,7 @@ --- comments: true -description: A guide that goes through exporting from Ultralytics YOLOv8 models to TensorFlow SavedModel format for streamlined deployments and optimized model performance. -keywords: Ultralytics YOLOv8, TensorFlow SavedModel, Model Deployment, TensorFlow Serving, TensorFlow Lite, Model Optimization, Computer Vision, Performance Optimization +description: Learn how to export Ultralytics YOLOv8 models to TensorFlow SavedModel format for easy deployment across various platforms and environments. +keywords: YOLOv8, TF SavedModel, Ultralytics, TensorFlow, model export, model deployment, machine learning, AI --- # Understand How to Export to TF SavedModel Format From YOLOv8 diff --git a/docs/en/integrations/tfjs.md b/docs/en/integrations/tfjs.md index 474cd617..c2734671 100644 --- a/docs/en/integrations/tfjs.md +++ b/docs/en/integrations/tfjs.md @@ -1,7 +1,7 @@ --- comments: true -description: A guide that showcases how to export from an Ultralytics YOLOv8 model to TF.js model format for streamlined browser deployments and optimized model performance. -keywords: Ultralytics YOLOv8, TensorFlow.js, TF.js, Model Deployment, Node.js, Model Format, Export Format, Model Conversion +description: Convert your Ultralytics YOLOv8 models to TensorFlow.js for high-speed, local object detection. Learn how to optimize ML models for browser and Node.js apps. +keywords: YOLOv8, TensorFlow.js, TF.js, model export, machine learning, object detection, browser ML, Node.js, Ultralytics, YOLO, export models --- # Export to TF.js Model Format From a YOLOv8 Model Format diff --git a/docs/en/integrations/tflite.md b/docs/en/integrations/tflite.md index d88223c4..566b9511 100644 --- a/docs/en/integrations/tflite.md +++ b/docs/en/integrations/tflite.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore how to improve your Ultralytics YOLOv8 model's performance and interoperability using the TFLite export format suitable for edge computing environments. -keywords: Ultralytics, YOLOv8, TFLite Export, Export YOLOv8, Model Deployment +description: Learn how to convert YOLOv8 models to TFLite for edge device deployment. Optimize performance and ensure seamless execution on various platforms. +keywords: YOLOv8, TFLite, model export, TensorFlow Lite, edge devices, deployment, Ultralytics, machine learning, on-device inference, model optimization --- # A Guide on YOLOv8 Model Export to TFLite for Deployment diff --git a/docs/en/integrations/torchscript.md b/docs/en/integrations/torchscript.md index 2f536a85..5ca0f3ad 100644 --- a/docs/en/integrations/torchscript.md +++ b/docs/en/integrations/torchscript.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn to export your Ultralytics YOLOv8 models to TorchScript format for deployment through platforms like embedded systems, web browsers, and C++ applications. -keywords: Ultralytics, YOLOv8, Export to Torchscript, Model Optimization, Deployment, PyTorch, C++, Faster Inference +description: Learn how to export Ultralytics YOLOv8 models to TorchScript for flexible, cross-platform deployment. Boost performance and utilize in various environments. +keywords: YOLOv8, TorchScript, model export, Ultralytics, PyTorch, deep learning, AI deployment, cross-platform, performance optimization --- # YOLOv8 Model Export to TorchScript for Quick Deployment diff --git a/docs/en/integrations/weights-biases.md b/docs/en/integrations/weights-biases.md index edb9b15a..c94ce254 100644 --- a/docs/en/integrations/weights-biases.md +++ b/docs/en/integrations/weights-biases.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to train your YOLOv8 models efficiently with Weights & Biases. This guide walks through integrating Weights & Biases with YOLOv8 to enable seamless experiment tracking, result visualization, and model explainability. -keywords: Ultralytics, YOLOv8, Object Detection, Weights & Biases, Model Training, Experiment Tracking, Visualizing Results +description: Learn how to enhance YOLOv8 experiment tracking and visualization with Weights & Biases for better model performance and management. +keywords: YOLOv8, Weights & Biases, model training, experiment tracking, Ultralytics, machine learning, computer vision, model visualization --- # Enhancing YOLOv8 Experiment Tracking and Visualization with Weights & Biases diff --git a/docs/en/models/fast-sam.md b/docs/en/models/fast-sam.md index dc37aa75..55d66e3c 100644 --- a/docs/en/models/fast-sam.md +++ b/docs/en/models/fast-sam.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore FastSAM, a CNN-based solution for real-time object segmentation in images. Enhanced user interaction, computational efficiency and adaptable across vision tasks. -keywords: FastSAM, machine learning, CNN-based solution, object segmentation, real-time solution, Ultralytics, vision tasks, image processing, industrial applications, user interaction +description: Discover FastSAM, a real-time CNN-based solution for segmenting any object in an image. Efficient, competitive, and ideal for various vision tasks. +keywords: FastSAM, Fast Segment Anything Model, Ultralytics, real-time segmentation, CNN, YOLOv8-seg, object segmentation, image processing, computer vision --- # Fast Segment Anything Model (FastSAM) diff --git a/docs/en/models/index.md b/docs/en/models/index.md index a4553c3d..1003799e 100644 --- a/docs/en/models/index.md +++ b/docs/en/models/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the diverse range of YOLO family, SAM, MobileSAM, FastSAM, YOLO-NAS, YOLO-World and RT-DETR models supported by Ultralytics. Get started with examples for both CLI and Python usage. -keywords: Ultralytics, documentation, YOLO, SAM, MobileSAM, FastSAM, YOLO-NAS, RT-DETR, YOLO-World, models, architectures, Python, CLI +description: Discover a variety of models supported by Ultralytics, including YOLOv3 to YOLOv10, NAS, SAM, and RT-DETR for detection, segmentation, and more. +keywords: Ultralytics, supported models, YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, SAM, NAS, RT-DETR, object detection, image segmentation, classification, pose estimation, multi-object tracking --- # Models Supported by Ultralytics diff --git a/docs/en/models/mobile-sam.md b/docs/en/models/mobile-sam.md index 496263ca..70d2a1a1 100644 --- a/docs/en/models/mobile-sam.md +++ b/docs/en/models/mobile-sam.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn more about MobileSAM, its implementation, comparison with the original SAM, and how to download and test it in the Ultralytics framework. Improve your mobile applications today. -keywords: MobileSAM, Ultralytics, SAM, mobile applications, Arxiv, GPU, API, image encoder, mask decoder, model download, testing method +description: Discover MobileSAM, a lightweight and fast image segmentation model for mobile applications. Compare its performance with the original SAM and explore its various modes. +keywords: MobileSAM, image segmentation, lightweight model, fast segmentation, mobile applications, SAM, ViT encoder, Tiny-ViT, Ultralytics --- ![MobileSAM Logo](https://github.com/ChaoningZhang/MobileSAM/blob/master/assets/logo2.png?raw=true) diff --git a/docs/en/models/rtdetr.md b/docs/en/models/rtdetr.md index 5dd55567..fb6e8131 100644 --- a/docs/en/models/rtdetr.md +++ b/docs/en/models/rtdetr.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover the features and benefits of RT-DETR, Baidu's efficient and adaptable real-time object detector powered by Vision Transformers, including pre-trained models. -keywords: RT-DETR, Baidu, Vision Transformers, object detection, real-time performance, CUDA, TensorRT, IoU-aware query selection, Ultralytics, Python API, PaddlePaddle +description: Explore Baidu's RT-DETR, a Vision Transformer-based real-time object detector offering high accuracy and adaptable inference speed. Learn more with Ultralytics. +keywords: RT-DETR, Baidu, Vision Transformer, real-time object detection, PaddlePaddle, Ultralytics, pre-trained models, AI, machine learning, computer vision --- # Baidu's RT-DETR: A Vision Transformer-Based Real-Time Object Detector diff --git a/docs/en/models/sam.md b/docs/en/models/sam.md index 45b2c13d..b4e0d1fd 100644 --- a/docs/en/models/sam.md +++ b/docs/en/models/sam.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the cutting-edge Segment Anything Model (SAM) from Ultralytics that allows real-time image segmentation. Learn about its promptable segmentation, zero-shot performance, and how to use it. -keywords: Ultralytics, image segmentation, Segment Anything Model, SAM, SA-1B dataset, real-time performance, zero-shot transfer, object detection, image analysis, machine learning +description: Explore the revolutionary Segment Anything Model (SAM) for promptable image segmentation with zero-shot performance. Discover key features, datasets, and usage tips. +keywords: Segment Anything, SAM, image segmentation, promptable segmentation, zero-shot performance, SA-1B dataset, advanced architecture, auto-annotation, Ultralytics, pre-trained models, instance segmentation, computer vision, AI, machine learning --- # Segment Anything Model (SAM) diff --git a/docs/en/models/yolo-nas.md b/docs/en/models/yolo-nas.md index fff2197d..7df22b0f 100644 --- a/docs/en/models/yolo-nas.md +++ b/docs/en/models/yolo-nas.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore detailed documentation of YOLO-NAS, a superior object detection model. Learn about its features, pre-trained models, usage with Ultralytics Python API, and more. -keywords: YOLO-NAS, Deci AI, object detection, deep learning, neural architecture search, Ultralytics Python API, YOLO model, pre-trained models, quantization, optimization, COCO, Objects365, Roboflow 100 +description: Discover YOLO-NAS by Deci AI - a state-of-the-art object detection model with quantization support. Explore features, pretrained models, and implementation examples. +keywords: YOLO-NAS, Deci AI, object detection, deep learning, Neural Architecture Search, Ultralytics, Python API, YOLO model, SuperGradients, pretrained models, quantization, AutoNAC --- # YOLO-NAS diff --git a/docs/en/models/yolo-world.md b/docs/en/models/yolo-world.md index 33517b47..d2cc3b20 100644 --- a/docs/en/models/yolo-world.md +++ b/docs/en/models/yolo-world.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover YOLO-World, a YOLOv8-based framework for real-time open-vocabulary object detection in images. It enhances user interaction, boosts computational efficiency, and adapts across various vision tasks. -keywords: YOLO-World, YOLOv8, machine learning, CNN-based framework, object detection, real-time detection, Ultralytics, vision tasks, image processing, industrial applications, user interaction +description: Explore the YOLO-World Model for efficient, real-time open-vocabulary object detection using Ultralytics YOLOv8 advancements. Achieve top performance with minimal computation. +keywords: YOLO-World, Ultralytics, open-vocabulary detection, YOLOv8, real-time object detection, machine learning, computer vision, AI, deep learning, model training --- # YOLO-World Model diff --git a/docs/en/models/yolov10.md b/docs/en/models/yolov10.md index 63ffb355..b111cf8a 100644 --- a/docs/en/models/yolov10.md +++ b/docs/en/models/yolov10.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover YOLOv10, a cutting-edge real-time object detector known for its exceptional speed and accuracy. Learn about NMS-free training, holistic model design, and performance across various scales. -keywords: YOLOv10, real-time object detection, Tsinghua University, COCO dataset, NMS-free training, efficient architecture, object detection optimization, state-of-the-art AI +description: Discover YOLOv10, the latest in real-time object detection, eliminating NMS and boosting efficiency. Achieve top performance with a low computational cost. +keywords: YOLOv10, real-time object detection, NMS-free, deep learning, Tsinghua University, Ultralytics, machine learning, neural networks, performance optimization --- # YOLOv10: Real-Time End-to-End Object Detection diff --git a/docs/en/models/yolov3.md b/docs/en/models/yolov3.md index 5779b860..ce1fd439 100644 --- a/docs/en/models/yolov3.md +++ b/docs/en/models/yolov3.md @@ -1,7 +1,7 @@ --- comments: true -description: Get an overview of YOLOv3, YOLOv3-Ultralytics and YOLOv3u. Learn about their key features, usage, and supported tasks for object detection. -keywords: YOLOv3, YOLOv3-Ultralytics, YOLOv3u, Object Detection, Inference, Training, Ultralytics +description: Discover YOLOv3 and its variants YOLOv3-Ultralytics and YOLOv3u. Learn about their features, implementations, and support for object detection tasks. +keywords: YOLOv3, YOLOv3-Ultralytics, YOLOv3u, object detection, Ultralytics, computer vision, AI models, deep learning --- # YOLOv3, YOLOv3-Ultralytics, and YOLOv3u diff --git a/docs/en/models/yolov4.md b/docs/en/models/yolov4.md index bcc55b07..d49014bd 100644 --- a/docs/en/models/yolov4.md +++ b/docs/en/models/yolov4.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore our detailed guide on YOLOv4, a state-of-the-art real-time object detector. Understand its architectural highlights, innovative features, and application examples. -keywords: ultralytics, YOLOv4, object detection, neural network, real-time detection, object detector, machine learning +description: Explore YOLOv4, a state-of-the-art real-time object detection model by Alexey Bochkovskiy. Discover its architecture, features, and performance. +keywords: YOLOv4, object detection, real-time detection, Alexey Bochkovskiy, neural networks, machine learning, computer vision --- # YOLOv4: High-Speed and Precise Object Detection diff --git a/docs/en/models/yolov5.md b/docs/en/models/yolov5.md index 744a4f43..1fc76c49 100644 --- a/docs/en/models/yolov5.md +++ b/docs/en/models/yolov5.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover YOLOv5u, a boosted version of the YOLOv5 model featuring an improved accuracy-speed tradeoff and numerous pre-trained models for various object detection tasks. -keywords: YOLOv5u, object detection, pre-trained models, Ultralytics, Inference, Validation, YOLOv5, YOLOv8, anchor-free, objectness-free, real-time applications, machine learning +description: Explore YOLOv5u, an advanced object detection model with optimized accuracy-speed tradeoff, featuring anchor-free Ultralytics head and various pre-trained models. +keywords: YOLOv5, YOLOv5u, object detection, Ultralytics, anchor-free, pre-trained models, accuracy, speed, real-time detection --- # YOLOv5 diff --git a/docs/en/models/yolov6.md b/docs/en/models/yolov6.md index 481a0e2c..f40b106a 100644 --- a/docs/en/models/yolov6.md +++ b/docs/en/models/yolov6.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore Meituan YOLOv6, a state-of-the-art object detection model striking a balance between speed and accuracy. Dive into features, pre-trained models, and Python usage. -keywords: Meituan YOLOv6, object detection, Ultralytics, YOLOv6 docs, Bi-directional Concatenation, Anchor-Aided Training, pretrained models, real-time applications +description: Explore Meituan YOLOv6, a top-tier object detector balancing speed and accuracy. Learn about its unique features and performance metrics on Ultralytics Docs. +keywords: Meituan YOLOv6, object detection, real-time applications, BiC module, Anchor-Aided Training, COCO dataset, high-performance models, Ultralytics Docs --- # Meituan YOLOv6 diff --git a/docs/en/models/yolov7.md b/docs/en/models/yolov7.md index f3d99d54..ba5c111d 100644 --- a/docs/en/models/yolov7.md +++ b/docs/en/models/yolov7.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the YOLOv7, a real-time object detector. Understand its superior speed, impressive accuracy, and unique trainable bag-of-freebies optimization focus. -keywords: YOLOv7, real-time object detector, state-of-the-art, Ultralytics, MS COCO dataset, model re-parameterization, dynamic label assignment, extended scaling, compound scaling +description: Discover YOLOv7, the breakthrough real-time object detector with top speed and accuracy. Learn about key features, usage, and performance metrics. +keywords: YOLOv7, real-time object detection, Ultralytics, AI, computer vision, model training, object detector --- # YOLOv7: Trainable Bag-of-Freebies diff --git a/docs/en/models/yolov8.md b/docs/en/models/yolov8.md index 5a2d8dc7..8a24cdc6 100644 --- a/docs/en/models/yolov8.md +++ b/docs/en/models/yolov8.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the thrilling features of YOLOv8, the latest version of our real-time object detector! Learn how advanced architectures, pre-trained models and optimal balance between accuracy & speed make YOLOv8 the perfect choice for your object detection tasks. -keywords: YOLOv8, Ultralytics, real-time object detector, pre-trained models, documentation, object detection, YOLO series, advanced architectures, accuracy, speed +description: Discover YOLOv8, the latest advancement in real-time object detection, optimizing performance with an array of pre-trained models for diverse tasks. +keywords: YOLOv8, real-time object detection, YOLO series, Ultralytics, computer vision, advanced object detection, AI, machine learning, deep learning --- # YOLOv8 diff --git a/docs/en/models/yolov9.md b/docs/en/models/yolov9.md index f480afd4..ebdad9f3 100644 --- a/docs/en/models/yolov9.md +++ b/docs/en/models/yolov9.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover YOLOv9, the latest addition to the real-time object detection arsenal, leveraging Programmable Gradient Information and GELAN architecture for unparalleled performance. -keywords: YOLOv9, real-time object detection, Programmable Gradient Information, GELAN architecture, Ultralytics, MS COCO dataset, open-source, lightweight model, computer vision, AI +description: Explore YOLOv9, the latest leap in real-time object detection, featuring innovations like PGI and GELAN, and achieving new benchmarks in efficiency and accuracy. +keywords: YOLOv9, object detection, real-time, PGI, GELAN, deep learning, MS COCO, AI, neural networks, model efficiency, accuracy, Ultralytics --- # YOLOv9: A Leap Forward in Object Detection Technology diff --git a/docs/en/modes/benchmark.md b/docs/en/modes/benchmark.md index a3fe5b8f..280f2bfd 100644 --- a/docs/en/modes/benchmark.md +++ b/docs/en/modes/benchmark.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to profile speed and accuracy of YOLOv8 across various export formats; get insights on mAP50-95, accuracy_top5 metrics, and more. -keywords: Ultralytics, YOLOv8, benchmarking, speed profiling, accuracy profiling, mAP50-95, accuracy_top5, ONNX, OpenVINO, TensorRT, YOLO export formats +description: Learn how to evaluate your YOLOv8 model's performance in real-world scenarios using benchmark mode. Optimize speed, accuracy, and resource allocation across export formats. +keywords: model benchmarking, YOLOv8, Ultralytics, performance evaluation, export formats, ONNX, TensorRT, OpenVINO, CoreML, TensorFlow, optimization, mAP50-95, inference time --- # Model Benchmarking with Ultralytics YOLO diff --git a/docs/en/modes/export.md b/docs/en/modes/export.md index 1d906ade..7f629a77 100644 --- a/docs/en/modes/export.md +++ b/docs/en/modes/export.md @@ -1,7 +1,7 @@ --- comments: true -description: Step-by-step guide on exporting your YOLOv8 models to various format like ONNX, TensorRT, CoreML and more for deployment. Explore now!. -keywords: YOLO, YOLOv8, Ultralytics, Model export, ONNX, TensorRT, CoreML, TensorFlow SavedModel, OpenVINO, PyTorch, export model +description: Learn how to export your YOLOv8 model to various formats like ONNX, TensorRT, and CoreML. Achieve maximum compatibility and performance. +keywords: YOLOv8, Model Export, ONNX, TensorRT, CoreML, Ultralytics, AI, Machine Learning, Inference, Deployment --- # Model Export with Ultralytics YOLO diff --git a/docs/en/modes/index.md b/docs/en/modes/index.md index c04aa40b..582a7598 100644 --- a/docs/en/modes/index.md +++ b/docs/en/modes/index.md @@ -1,7 +1,7 @@ --- comments: true -description: From training to tracking, make the most of YOLOv8 with Ultralytics. Get insights and examples for each supported mode including validation, export, and benchmarking. -keywords: Ultralytics, YOLOv8, Machine Learning, Object Detection, Training, Validation, Prediction, Export, Tracking, Benchmarking +description: Discover the diverse modes of Ultralytics YOLOv8, including training, validation, prediction, export, tracking, and benchmarking. Maximize model performance and efficiency. +keywords: Ultralytics, YOLOv8, machine learning, model training, validation, prediction, export, tracking, benchmarking, object detection --- # Ultralytics YOLOv8 Modes diff --git a/docs/en/modes/predict.md b/docs/en/modes/predict.md index c8a3bfc4..a19b5728 100644 --- a/docs/en/modes/predict.md +++ b/docs/en/modes/predict.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to use YOLOv8 predict mode for various tasks. Learn about different inference sources like images, videos, and data formats. -keywords: Ultralytics, YOLOv8, predict mode, inference sources, prediction tasks, streaming mode, image processing, video processing, machine learning, AI +description: Harness the power of Ultralytics YOLOv8 for real-time, high-speed inference on various data sources. Learn about predict mode, key features, and practical applications. +keywords: Ultralytics, YOLOv8, model prediction, inference, predict mode, real-time inference, computer vision, machine learning, streaming, high performance --- # Model Prediction with Ultralytics YOLO diff --git a/docs/en/modes/track.md b/docs/en/modes/track.md index 2e9e307b..dc863904 100644 --- a/docs/en/modes/track.md +++ b/docs/en/modes/track.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use Ultralytics YOLO for object tracking in video streams. Guides to use different trackers and customise tracker configurations. -keywords: Ultralytics, YOLO, object tracking, video streams, BoT-SORT, ByteTrack, Python guide, CLI guide +description: Discover efficient, flexible, and customizable multi-object tracking with Ultralytics YOLO. Learn to track real-time video streams with ease. +keywords: multi-object tracking, Ultralytics YOLO, video analytics, real-time tracking, object detection, AI, machine learning --- # Multi-Object Tracking with Ultralytics YOLO diff --git a/docs/en/modes/train.md b/docs/en/modes/train.md index d04a84db..8f8004a2 100644 --- a/docs/en/modes/train.md +++ b/docs/en/modes/train.md @@ -1,7 +1,7 @@ --- comments: true -description: Step-by-step guide to train YOLOv8 models with Ultralytics YOLO including examples of single-GPU and multi-GPU training -keywords: Ultralytics, YOLOv8, YOLO, object detection, train mode, custom dataset, GPU training, multi-GPU, hyperparameters, CLI examples, Python examples +description: Learn how to efficiently train object detection models using YOLOv8 with comprehensive instructions on settings, augmentation, and hardware utilization. +keywords: Ultralytics, YOLOv8, model training, deep learning, object detection, GPU training, dataset augmentation, hyperparameter tuning, model performance, M1 M2 training --- # Model Training with Ultralytics YOLO diff --git a/docs/en/modes/val.md b/docs/en/modes/val.md index 006937ba..83197845 100644 --- a/docs/en/modes/val.md +++ b/docs/en/modes/val.md @@ -1,7 +1,7 @@ --- comments: true -description: Guide for Validating YOLOv8 Models. Learn how to evaluate the performance of your YOLO models using validation settings and metrics with Python and CLI examples. -keywords: Ultralytics, YOLO Docs, YOLOv8, validation, model evaluation, hyperparameters, accuracy, metrics, Python, CLI +description: Learn how to validate your YOLOv8 model with precise metrics, easy-to-use tools, and custom settings for optimal performance. +keywords: Ultralytics, YOLOv8, model validation, machine learning, object detection, mAP metrics, Python API, CLI --- # Model Validation with Ultralytics YOLO diff --git a/docs/en/quickstart.md b/docs/en/quickstart.md index 14f10e58..5ae1de12 100644 --- a/docs/en/quickstart.md +++ b/docs/en/quickstart.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore various methods to install Ultralytics using pip, conda, git and Docker. Learn how to use Ultralytics with command line interface or within your Python projects. -keywords: Ultralytics installation, pip install Ultralytics, Docker install Ultralytics, Ultralytics command line interface, Ultralytics Python interface +description: Learn how to install Ultralytics using pip, conda, or Docker. Follow our step-by-step guide for a seamless setup of YOLOv8 with thorough instructions. +keywords: Ultralytics, YOLOv8, Install Ultralytics, pip, conda, Docker, GitHub, machine learning, object detection --- ## Install Ultralytics diff --git a/docs/en/reference/cfg/__init__.md b/docs/en/reference/cfg/__init__.md index c930e1ef..1d8858b6 100644 --- a/docs/en/reference/cfg/__init__.md +++ b/docs/en/reference/cfg/__init__.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics cfg functions like cfg2dict, handle_deprecation, merge_equal_args & more to handle YOLO settings and configurations efficiently. -keywords: Ultralytics, YOLO, Configuration, cfg2dict, handle_deprecation, merge_equals_args, handle_yolo_settings, copy_default_cfg, Image Detection +description: Explore the methods for managing and validating YOLO configurations in the Ultralytics configuration module. Enhance your YOLO experience. +keywords: Ultralytics, YOLO, configuration, cfg2dict, get_cfg, check_cfg, save_dir, deprecation, merge_args, yolo, settings, explorer --- # Reference for `ultralytics/cfg/__init__.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/__init__.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/__init__.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/cfg/__init__.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/__init__.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/__init__.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/cfg/__init__.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/annotator.md b/docs/en/reference/data/annotator.md index 568fbe9d..e746a32f 100644 --- a/docs/en/reference/data/annotator.md +++ b/docs/en/reference/data/annotator.md @@ -1,13 +1,13 @@ --- -description: Enhance your machine learning model with Ultralytics' auto_annotate function. Simplify data annotation for improved model training. -keywords: Ultralytics, Auto-Annotate, Machine Learning, AI, Annotation, Data Processing, Model Training +description: Explore Ultralytics' annotator script for automatic image annotation using YOLO and SAM models. Contribute to improve it on GitHub!. +keywords: Ultralytics, image annotation, YOLO, SAM, Python script, GitHub, object detection, segmentation --- # Reference for `ultralytics/data/annotator.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/annotator.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/annotator.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/annotator.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/annotator.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/annotator.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/annotator.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/augment.md b/docs/en/reference/data/augment.md index a019408f..3dfcdcda 100644 --- a/docs/en/reference/data/augment.md +++ b/docs/en/reference/data/augment.md @@ -1,13 +1,13 @@ --- -description: Detailed exploration into Ultralytics data augmentation methods including BaseTransform, MixUp, LetterBox, ToTensor, and more for enhancing model performance. -keywords: Ultralytics, Data Augmentation, BaseTransform, MixUp, RandomHSV, LetterBox, Albumentations, classify_transforms, classify_albumentations +description: Explore Ultralytics image augmentation techniques like MixUp, Mosaic, and Random Perspective for enhancing model training. Improve your deep learning models now. +keywords: Ultralytics, image augmentation, MixUp, Mosaic, Random Perspective, deep learning, model training, YOLO --- # Reference for `ultralytics/data/augment.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/augment.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/augment.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/augment.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/base.md b/docs/en/reference/data/base.md index 7dc50253..f78159dc 100644 --- a/docs/en/reference/data/base.md +++ b/docs/en/reference/data/base.md @@ -1,13 +1,13 @@ --- -description: Explore BaseDataset in Ultralytics docs. Learn how this implementation simplifies dataset creation and manipulation. -keywords: Ultralytics, docs, BaseDataset, data manipulation, dataset creation +description: Explore the Ultralytics BaseDataset class for efficient image loading and processing with custom transformations and caching options. +keywords: Ultralytics, BaseDataset, image processing, data augmentation, YOLO, dataset class, image caching --- # Reference for `ultralytics/data/base.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/base.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/base.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/base.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/base.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/base.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/base.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/build.md b/docs/en/reference/data/build.md index 6d615f66..7f78aa4d 100644 --- a/docs/en/reference/data/build.md +++ b/docs/en/reference/data/build.md @@ -1,13 +1,13 @@ --- -description: Explore the Ultralytics YOLO v3 data build procedures, including the InfiniteDataLoader, seed_worker, build_dataloader, and load_inference_source. -keywords: Ultralytics, YOLO v3, Data build, DataLoader, InfiniteDataLoader, seed_worker, build_dataloader, load_inference_source +description: Explore the functionality and examples of data builders like InfiniteDataLoader and various YOLO dataset builders in Ultralytics. +keywords: Ultralytics, Data Builders, InfiniteDataLoader, YOLO dataset, build.py, AI, Machine Learning --- # Reference for `ultralytics/data/build.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/build.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/build.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/build.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/build.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/build.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/build.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/converter.md b/docs/en/reference/data/converter.md index 3b0508a3..89061cde 100644 --- a/docs/en/reference/data/converter.md +++ b/docs/en/reference/data/converter.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics data converter functions like coco91_to_coco80_class, merge_multi_segment, rle2polygon for efficient data handling. -keywords: Ultralytics, Data Converter, coco91_to_coco80_class, merge_multi_segment, rle2polygon +description: Explore comprehensive data conversion tools for YOLO models including COCO, DOTA, and YOLO bbox2segment converters. +keywords: Ultralytics, data conversion, YOLO models, COCO, DOTA, YOLO bbox2segment, machine learning, annotations --- # Reference for `ultralytics/data/converter.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/converter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/converter.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/converter.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/converter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/converter.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/converter.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/dataset.md b/docs/en/reference/data/dataset.md index bdc7eb7d..2c6b5036 100644 --- a/docs/en/reference/data/dataset.md +++ b/docs/en/reference/data/dataset.md @@ -1,13 +1,13 @@ --- -description: Explore the YOLODataset and SemanticDataset classes in YOLO data. Learn how to efficiently handle and manipulate your data with Ultralytics. -keywords: Ultralytics, YOLO, YOLODataset, SemanticDataset, data handling, data manipulation +description: Explore the YOLODataset and its subclasses for object detection, segmentation, and multi-modal tasks. Find details on dataset loading, caching, and augmentation. +keywords: Ultralytics, YOLODataset, object detection, segmentation, dataset loading, caching, data augmentation --- # Reference for `ultralytics/data/dataset.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/dataset.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/dataset.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/dataset.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/dataset.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/dataset.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/dataset.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/explorer/explorer.md b/docs/en/reference/data/explorer/explorer.md index cbcfd23e..a32a4db0 100644 --- a/docs/en/reference/data/explorer/explorer.md +++ b/docs/en/reference/data/explorer/explorer.md @@ -1,14 +1,14 @@ --- comments: true -description: Comprehensive reference for the Explorer API. Get a brief description of all the main classes utilised for creating and handling the data in the Ultralytics data explorer project. -keywords: Ultralytics, explorer.py, data explorer, Semantic search, vector similarity search, class reference, documentation, ExplorerDataset, Explorer, data handling +description: Explore the Ultralytics data explorer functions including YOLO dataset handling, image querying, embedding generation, and similarity indexing. +keywords: Ultralytics, YOLO, data explorer, image querying, embeddings, similarity index, python, machine learning --- # Reference for `ultralytics/data/explorer/explorer.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/explorer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/explorer.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/explorer/explorer.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/explorer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/explorer.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/explorer/explorer.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/explorer/gui/dash.md b/docs/en/reference/data/explorer/gui/dash.md index 37b0697c..e18333a3 100644 --- a/docs/en/reference/data/explorer/gui/dash.md +++ b/docs/en/reference/data/explorer/gui/dash.md @@ -1,14 +1,14 @@ --- comments: true -description: Detailed reference for the Explorer GUI. Includes brief descriptions for all the major functions used in the dashboard demo of Explorer API. -keywords: Ultralytics, data explorer, gui, function reference, documentation, AI queries, image similarity, SQL queries, streamlit, semantic search +description: Explore the functionalities of Ultralytics Explorer with our comprehensive GUI dash documentation. +keywords: Ultralytics, Explorer, GUI, dash, documentation, data explorer, AI query, SQL query, image similarity --- # Reference for `ultralytics/data/explorer/gui/dash.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/gui/dash.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/gui/dash.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/explorer/gui/dash.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/gui/dash.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/gui/dash.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/explorer/gui/dash.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/explorer/utils.md b/docs/en/reference/data/explorer/utils.md index e34939cd..a08969a7 100644 --- a/docs/en/reference/data/explorer/utils.md +++ b/docs/en/reference/data/explorer/utils.md @@ -1,14 +1,14 @@ --- comments: true -description: Detailed reference for the Explorer utils. Provides descriptions and details on important utility functions for managing and interacting with data in the Ultralytics explorer project. -keywords: Ultralytics, data explorer, function reference, documentation, get table schema, get sim index schema, sanitize batch, plot query result, prompt SQL query +description: Explore various utility functions in ultralytics.data.explorer.utils including schema definitions, batch sanitization, and query results plotting. +keywords: Ultralytics, data explorer, utils, schema, sanitize batch, plot query results, SQL query, machine learning --- # Reference for `ultralytics/data/explorer/utils.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/utils.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/explorer/utils.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/explorer/utils.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/explorer/utils.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/loaders.md b/docs/en/reference/data/loaders.md index a713a9a2..a26dc277 100644 --- a/docs/en/reference/data/loaders.md +++ b/docs/en/reference/data/loaders.md @@ -1,13 +1,13 @@ --- -description: Find detailed guides on Ultralytics YOLO data loaders, including LoadStreams, LoadImages and LoadTensor. Learn how to get the best YouTube URLs. -keywords: Ultralytics, data loaders, LoadStreams, LoadImages, LoadTensor, YOLO, YouTube URLs +description: Explore detailed documentation on Ultralytics data loaders including SourceTypes, LoadStreams, and more. Enhance your ML workflows with our comprehensive guides. +keywords: Ultralytics, data loaders, SourceTypes, LoadStreams, LoadScreenshots, LoadImagesAndVideos, LoadPilAndNumpy, LoadTensor, ML workflows --- # Reference for `ultralytics/data/loaders.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/loaders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/loaders.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/loaders.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/loaders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/loaders.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/loaders.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/split_dota.md b/docs/en/reference/data/split_dota.md index cc10ff5f..9bbf79ec 100644 --- a/docs/en/reference/data/split_dota.md +++ b/docs/en/reference/data/split_dota.md @@ -1,13 +1,13 @@ --- -description: Detailed guide on using YOLO with DOTA dataset for object detection, including dataset preparation, image splitting, and label handling. -keywords: Ultralytics, YOLO, DOTA dataset, object detection, image processing, python, dataset preparation, image splitting, label handling, YOLO with DOTA, computer vision, AI, machine learning +description: Learn how to utilize the ultralytics.data.split_dota module to process and split DOTA datasets efficiently. Explore detailed functions and examples. +keywords: Ultralytics, DOTA dataset, data splitting, YOLO, Python, bbox_iof, load_yolo_dota, get_windows, crop_and_save --- # Reference for `ultralytics/data/split_dota.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/split_dota.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/split_dota.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/split_dota.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/split_dota.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/split_dota.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/split_dota.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/data/utils.md b/docs/en/reference/data/utils.md index a157ce8c..afccca25 100644 --- a/docs/en/reference/data/utils.md +++ b/docs/en/reference/data/utils.md @@ -1,13 +1,13 @@ --- -description: Uncover a detailed guide to Ultralytics data utilities. Learn functions from img2label_paths to autosplit, all boosting your YOLO model's efficiency. -keywords: Ultralytics, data utils, YOLO, img2label_paths, exif_size, polygon2mask, polygons2masks_overlap, check_cls_dataset, delete_dsstore, autosplit +description: Explore in-depth reference for utility functions in Ultralytics data module. Learn about image verification, dataset handling, and more. +keywords: Ultralytics, dataset utils, data handling, image verification, Python, data module --- # Reference for `ultralytics/data/utils.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/utils.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/utils.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/utils.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/utils.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/exporter.md b/docs/en/reference/engine/exporter.md index 45215ac3..8e1b4acf 100644 --- a/docs/en/reference/engine/exporter.md +++ b/docs/en/reference/engine/exporter.md @@ -1,13 +1,13 @@ --- -description: Explore the exporter functionality of Ultralytics. Learn about exporting formats, IOSDetectModel, and try exporting with examples. -keywords: Ultralytics, Exporter, IOSDetectModel, Export Formats, Try export +description: Learn how to export YOLOv8 models to formats like ONNX, TensorRT, CoreML, and more. Optimize your exports for different platforms. +keywords: YOLOv8, export formats, ONNX, TensorRT, CoreML, machine learning model export, AI, deep learning --- # Reference for `ultralytics/engine/exporter.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/exporter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/exporter.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/exporter.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/exporter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/exporter.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/exporter.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/model.md b/docs/en/reference/engine/model.md index ecc71f2d..66ea1f2c 100644 --- a/docs/en/reference/engine/model.md +++ b/docs/en/reference/engine/model.md @@ -1,13 +1,13 @@ --- -description: Explore the detailed guide on using the Ultralytics YOLO Engine Model. Learn better ways to implement, train and evaluate YOLO models. -keywords: Ultralytics, YOLO, engine model, documentation, guide, implementation, training, evaluation +description: Explore the base class for implementing YOLO models with unified APIs for training, validation, prediction, and more. Learn how to utilize different task types and model configurations. +keywords: YOLO model, Ultralytics, machine learning, deep learning, PyTorch model, training, validation, prediction, exporting, benchmarking, Ultralytics HUB, Triton Server --- # Reference for `ultralytics/engine/model.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/model.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/model.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/predictor.md b/docs/en/reference/engine/predictor.md index 315c34bb..a381f9d1 100644 --- a/docs/en/reference/engine/predictor.md +++ b/docs/en/reference/engine/predictor.md @@ -1,13 +1,13 @@ --- -description: Learn about Ultralytics BasePredictor, an essential component of our engine that serves as the foundation for all prediction operations. -keywords: Ultralytics, BasePredictor, YOLO, prediction, engine +description: Discover how to use the Base Predictor class in the Ultralytics YOLO engine for efficient image and video inference. +keywords: Ultralytics, YOLO, Base Predictor, image inference, video inference, machine learning, Python --- # Reference for `ultralytics/engine/predictor.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/predictor.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/predictor.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/predictor.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/predictor.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/predictor.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/predictor.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/results.md b/docs/en/reference/engine/results.md index 0f5fc4e7..2f14b7af 100644 --- a/docs/en/reference/engine/results.md +++ b/docs/en/reference/engine/results.md @@ -1,13 +1,13 @@ --- -description: Master Ultralytics engine results including base tensors, boxes, and keypoints with our thorough documentation. -keywords: Ultralytics, engine, results, base tensor, boxes, keypoints +description: Explore the details of Ultralytics engine results including classes like BaseTensor, Results, Boxes, Masks, Keypoints, Probs, and OBB to handle inference results efficiently. +keywords: Ultralytics, engine results, BaseTensor, Results class, Boxes, Masks, Keypoints, Probs, OBB, inference results, machine learning, PyTorch --- # Reference for `ultralytics/engine/results.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/results.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/results.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/results.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/results.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/results.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/results.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/trainer.md b/docs/en/reference/engine/trainer.md index e1a060e5..a63dea62 100644 --- a/docs/en/reference/engine/trainer.md +++ b/docs/en/reference/engine/trainer.md @@ -1,13 +1,13 @@ --- -description: Learn about the BaseTrainer class in the Ultralytics library. From training control, customization to advanced usage. -keywords: Ultralytics, BaseTrainer, Machine Learning, Training Control, Python library +description: Learn how to use BaseTrainer in Ultralytics YOLO for efficient model training. Comprehensive guide for configurations, datasets, and optimization. +keywords: Ultralytics, YOLO, BaseTrainer, model training, configuration, datasets, optimization, machine learning --- # Reference for `ultralytics/engine/trainer.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/trainer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/trainer.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/trainer.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/trainer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/trainer.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/trainer.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/tuner.md b/docs/en/reference/engine/tuner.md index db3af522..358f730e 100644 --- a/docs/en/reference/engine/tuner.md +++ b/docs/en/reference/engine/tuner.md @@ -1,13 +1,13 @@ --- -description: Explore the Ultralytics Tuner, a powerful tool designed for hyperparameter tuning of YOLO models to optimize performance across various tasks like object detection, image classification, and more. -keywords: Ultralytics, Tuner, YOLO, hyperparameter tuning, optimization, object detection, image classification, instance segmentation, pose estimation, multi-object tracking +description: Optimize YOLO model performance using Ultralytics Tuner. Learn about systematic hyperparameter tuning for object detection, segmentation, classification, and tracking. +keywords: Ultralytics, YOLO, hyperparameter tuning, machine learning, deep learning, object detection, instance segmentation, image classification, pose estimation, multi-object tracking --- # Reference for `ultralytics/engine/tuner.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/tuner.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/tuner.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/tuner.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/tuner.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/tuner.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/tuner.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/engine/validator.md b/docs/en/reference/engine/validator.md index cbb28919..05ed6bf0 100644 --- a/docs/en/reference/engine/validator.md +++ b/docs/en/reference/engine/validator.md @@ -1,13 +1,13 @@ --- -description: Learn about the Ultralytics BaseValidator module. Understand its principles, uses, and how it interacts with other components. -keywords: Ultralytics, BaseValidator, Ultralytics engine, module, components +description: Explore Ultralytics BaseValidator for model validation in PyTorch, TensorFlow, ONNX, and more. Learn to check model accuracy and performance metrics. +keywords: Ultralytics, BaseValidator, model validation, PyTorch, TensorFlow, ONNX, model accuracy, performance metrics --- # Reference for `ultralytics/engine/validator.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/validator.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/validator.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/validator.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/validator.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/validator.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/validator.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/hub/__init__.md b/docs/en/reference/hub/__init__.md index 1eebf8e8..194fb17d 100644 --- a/docs/en/reference/hub/__init__.md +++ b/docs/en/reference/hub/__init__.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics hub functions for model resetting, checking datasets, model exporting and more. Easy-to-follow instructions provided. -keywords: Ultralytics, hub functions, model export, dataset check, reset model, YOLO Docs +description: Explore Ultralytics HUB API functions for login, logout, model reset, export, and dataset checks. Enhance your YOLO workflows with these essential utilities. +keywords: Ultralytics HUB API, login, logout, reset model, export model, check dataset, YOLO, machine learning --- # Reference for `ultralytics/hub/__init__.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/__init__.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/__init__.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/__init__.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/__init__.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/__init__.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/__init__.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/hub/auth.md b/docs/en/reference/hub/auth.md index 3b454495..e641bd43 100644 --- a/docs/en/reference/hub/auth.md +++ b/docs/en/reference/hub/auth.md @@ -1,13 +1,13 @@ --- -description: Dive into the Ultralytics Auth API documentation & learn how to manage authentication in your AI & ML projects easily and effectively. -keywords: Ultralytics, Auth, API documentation, User Authentication, AI, Machine Learning +description: Learn how to manage API key and cookie-based authentication in Ultralytics with the Auth class. Step-by-step guide for effective authentication. +keywords: Ultralytics, authentication, API key, cookies, Auth class, YOLO, API, guide --- # Reference for `ultralytics/hub/auth.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/auth.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/auth.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/auth.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/auth.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/auth.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/auth.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/hub/session.md b/docs/en/reference/hub/session.md index 0baa61e0..05bc875f 100644 --- a/docs/en/reference/hub/session.md +++ b/docs/en/reference/hub/session.md @@ -1,13 +1,13 @@ --- -description: Explore details about the HUBTrainingSession in Ultralytics framework. Learn to utilize this functionality for effective model training. -keywords: Ultralytics, HUBTrainingSession, Documentation, Model Training, AI, Machine Learning, YOLO +description: Explore the HUBTrainingSession class for managing Ultralytics YOLO model training, heartbeats, and checkpointing. +keywords: Ultralytics, YOLO, HUBTrainingSession, model training, heartbeats, checkpointing, Python --- # Reference for `ultralytics/hub/session.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/session.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/session.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/session.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/session.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/session.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/session.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/hub/utils.md b/docs/en/reference/hub/utils.md index 9deb9a1e..4b4d8375 100644 --- a/docs/en/reference/hub/utils.md +++ b/docs/en/reference/hub/utils.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics docs for various Events, including "request_with_credentials" and "requests_with_progress". Also, understand the use of the "smart_request". -keywords: Ultralytics, Events, request_with_credentials, smart_request, Ultralytics hub utils, requests_with_progress +description: Explore the utilities in the Ultralytics Hub. Learn about smart_request, request_with_credentials, and more to enhance your YOLO projects. +keywords: Ultralytics, Hub, Utilities, YOLO, smart_request, request_with_credentials --- # Reference for `ultralytics/hub/utils.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/utils.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/utils.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/utils.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/hub/utils.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/fastsam/model.md b/docs/en/reference/models/fastsam/model.md index 830d3431..1c60705f 100644 --- a/docs/en/reference/models/fastsam/model.md +++ b/docs/en/reference/models/fastsam/model.md @@ -1,13 +1,13 @@ --- -description: Learn all about Ultralytics FastSAM model. Dive into our comprehensive guide for seamless integration and efficient model training. -keywords: Ultralytics, FastSAM model, Model documentation, Efficient model training +description: Discover how to use the FastSAM model with Ultralytics. Learn about its interface and implementation details with practical examples. +keywords: FastSAM, Ultralytics, model interface, YOLO, deep learning, machine learning, segmentation, predictor, validator, Python --- # Reference for `ultralytics/models/fastsam/model.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/model.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/model.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/model.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/fastsam/predict.md b/docs/en/reference/models/fastsam/predict.md index a336e168..89b2da0c 100644 --- a/docs/en/reference/models/fastsam/predict.md +++ b/docs/en/reference/models/fastsam/predict.md @@ -1,13 +1,13 @@ --- -description: Get detailed insights about Ultralytics FastSAMPredictor. Learn to predict and optimize your AI models with our properly documented guidelines. -keywords: Ultralytics, FastSAMPredictor, predictive modeling, AI optimization, machine learning, deep learning, Ultralytics documentation +description: Explore the Fast SAM Predictor in the Ultralytics YOLO framework. Learn about its segmentation prediction tasks, configuration, and post-processing steps. +keywords: Ultralytics, Fast SAM Predictor, YOLO, segmentation, prediction, AI model, non-max suppression, mask prediction, tutorial --- # Reference for `ultralytics/models/fastsam/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/fastsam/prompt.md b/docs/en/reference/models/fastsam/prompt.md index c1efb4be..bfc8be0e 100644 --- a/docs/en/reference/models/fastsam/prompt.md +++ b/docs/en/reference/models/fastsam/prompt.md @@ -1,13 +1,13 @@ --- -description: Learn to effectively utilize FastSAMPrompt model from Ultralytics. Detailed guide to help you get the most out of your machine learning models. -keywords: Ultralytics, FastSAMPrompt, machine learning, model, guide, documentation +description: Explore the FastSAM prompt module for image annotation and visualization in Ultralytics, detailed with class methods and attributes. +keywords: Ultralytics, FastSAM, image annotation, image visualization, FastSAMPrompt, YOLO, python script --- # Reference for `ultralytics/models/fastsam/prompt.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/prompt.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/prompt.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/prompt.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/prompt.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/prompt.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/prompt.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/fastsam/utils.md b/docs/en/reference/models/fastsam/utils.md index b5074e11..0f223a7b 100644 --- a/docs/en/reference/models/fastsam/utils.md +++ b/docs/en/reference/models/fastsam/utils.md @@ -1,13 +1,13 @@ --- -description: Learn how to adjust bounding boxes to image borders in Ultralytics models using the bbox_iou utility. Enhance your object detection performance. -keywords: Ultralytics, bounding boxes, Bboxes, image borders, object detection, bbox_iou, model utilities +description: Explore the utility functions in FastSAM for adjusting bounding boxes and calculating IoU, benefiting computer vision projects. +keywords: FastSAM, bounding boxes, IoU, Ultralytics, image processing, computer vision --- # Reference for `ultralytics/models/fastsam/utils.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/utils.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/utils.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/utils.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/utils.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/fastsam/val.md b/docs/en/reference/models/fastsam/val.md index 71bf6b24..b6eb0325 100644 --- a/docs/en/reference/models/fastsam/val.md +++ b/docs/en/reference/models/fastsam/val.md @@ -1,13 +1,13 @@ --- -description: Learn about FastSAMValidator in Ultralytics models. Comprehensive guide to enhancing AI capabilities with Ultralytics. -keywords: Ultralytics, FastSAMValidator, model, synthetic, AI, machine learning, validation +description: Discover FastSAM Validator for segmentation in Ultralytics YOLO. Learn how to validate with custom metrics and avoid common errors. Contribute on GitHub!. +keywords: FastSAM Validator, Ultralytics, YOLO, segmentation, validation, metrics, GitHub, contribute, documentation --- # Reference for `ultralytics/models/fastsam/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/fastsam/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/fastsam/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/nas/model.md b/docs/en/reference/models/nas/model.md index e844453e..8de3c911 100644 --- a/docs/en/reference/models/nas/model.md +++ b/docs/en/reference/models/nas/model.md @@ -1,13 +1,13 @@ --- -description: Learn how our NAS model operates in Ultralytics. Comprehensive guide with detailed examples. Master the nuances of Ultralytics NAS model. -keywords: Ultralytics, NAS model, NAS guide, machine learning, model documentation +description: Explore the YOLO-NAS model interface and learn how to utilize pre-trained YOLO-NAS models for object detection with Ultralytics. +keywords: Ultralytics, YOLO, YOLO-NAS, object detection, pre-trained models, machine learning, deep learning, NAS model --- # Reference for `ultralytics/models/nas/model.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/model.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/nas/model.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/nas/model.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/nas/predict.md b/docs/en/reference/models/nas/predict.md index ee22af4d..2ce3efd0 100644 --- a/docs/en/reference/models/nas/predict.md +++ b/docs/en/reference/models/nas/predict.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics NASPredictor. Understand high-level architecture of the model for effective implementation and efficient predictions. -keywords: NASPredictor, Ultralytics, Ultralytics model, model architecture, efficient predictions +description: Learn about NASPredictor in Ultralytics YOLO for efficient object detection. Explore its attributes, methods, and usage with examples. +keywords: Ultralytics, YOLO, NASPredictor, object detection, machine learning, AI, non-maximum suppression, bounding boxes, image processing --- # Reference for `ultralytics/models/nas/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/nas/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/nas/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/nas/val.md b/docs/en/reference/models/nas/val.md index ff631fe6..39a5c156 100644 --- a/docs/en/reference/models/nas/val.md +++ b/docs/en/reference/models/nas/val.md @@ -1,13 +1,13 @@ --- -description: Explore the utilities and functions of the Ultralytics NASValidator. Find out how it benefits allocation and optimization in AI models. -keywords: Ultralytics, NASValidator, models.nas.val.NASValidator, AI models, allocation, optimization +description: Explore the Ultralytics NASValidator for efficient YOLO model validation. Learn about NMS and post-processing configurations. +keywords: Ultralytics, YOLO, NASValidator, object detection, non-maximum suppression, NMS, YOLO models, machine learning --- # Reference for `ultralytics/models/nas/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/nas/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/nas/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/nas/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/rtdetr/model.md b/docs/en/reference/models/rtdetr/model.md index 9776f4c6..b6bf9042 100644 --- a/docs/en/reference/models/rtdetr/model.md +++ b/docs/en/reference/models/rtdetr/model.md @@ -1,13 +1,13 @@ --- -description: Explore the specifics of using the RTDETR model in Ultralytics. Detailed documentation layered with explanations and examples. -keywords: Ultralytics, RTDETR model, Ultralytics models, object detection, Ultralytics documentation +description: Explore the interface for Baidu's RT-DETR, a Vision Transformer-based real-time object detector in the Ultralytics Docs. Learn more about its efficient hybrid encoding and IoU-aware query selection. +keywords: RT-DETR, real-time object detection, Vision Transformer, Ultralytics, model interface, Baidu, hybrid encoding, IoU-aware query selection, machine learning, AI --- # Reference for `ultralytics/models/rtdetr/model.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/model.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/model.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/model.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/rtdetr/predict.md b/docs/en/reference/models/rtdetr/predict.md index 311aee49..06980b60 100644 --- a/docs/en/reference/models/rtdetr/predict.md +++ b/docs/en/reference/models/rtdetr/predict.md @@ -1,13 +1,13 @@ --- -description: Learn how to use the RTDETRPredictor model of the Ultralytics package. Detailed documentation, usage instructions, and advice. -keywords: Ultralytics, RTDETRPredictor, model documentation, guide, real-time object detection +description: Access the complete reference for the RTDETRPredictor class in Ultralytics. Learn about its attributes, methods, and example usage for real-time object detection. +keywords: RTDETRPredictor, Ultralytics, Real-Time Detection Transformer, object detection, Vision Transformers, documentation, RT-DETR, Python class --- # Reference for `ultralytics/models/rtdetr/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/rtdetr/train.md b/docs/en/reference/models/rtdetr/train.md index 4e61b6d1..5210254d 100644 --- a/docs/en/reference/models/rtdetr/train.md +++ b/docs/en/reference/models/rtdetr/train.md @@ -1,13 +1,13 @@ --- -description: Get insights into RTDETRTrainer, a crucial component of Ultralytics for effective model training. Explore detailed documentation at Ultralytics. -keywords: Ultralytics, RTDETRTrainer, model training, Ultralytics models, PyTorch models, neural networks, machine learning, deep learning +description: Explore RTDETRTrainer for efficient real-time object detection leveraging Vision Transformers. Learn configuration, dataset handling, and advanced model training. +keywords: RTDETRTrainer, real-time object detection, Vision Transformers, YOLO, RT-DETR model, model training, dataset handling --- # Reference for `ultralytics/models/rtdetr/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/rtdetr/val.md b/docs/en/reference/models/rtdetr/val.md index b0d4d42c..f4ee2470 100644 --- a/docs/en/reference/models/rtdetr/val.md +++ b/docs/en/reference/models/rtdetr/val.md @@ -1,13 +1,13 @@ --- -description: Explore RTDETRDataset in Ultralytics Models. Learn about the RTDETRValidator function, understand its usage in real-time object detection. -keywords: Ultralytics, RTDETRDataset, RTDETRValidator, real-time object detection, models documentation +description: Explore the RTDETRValidator and RTDETRDataset classes for real-time detection and tracking. Understand initialization, transformations, and post-processing. +keywords: RTDETR, Ultralytics, object detection, tracking, YOLO, RTDETRDataset, RTDETRValidator, real-time detection --- # Reference for `ultralytics/models/rtdetr/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/rtdetr/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/amg.md b/docs/en/reference/models/sam/amg.md index 9786d76f..c20818d2 100644 --- a/docs/en/reference/models/sam/amg.md +++ b/docs/en/reference/models/sam/amg.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics methods for mask data processing, transformation and encoding. Deepen your understanding of RLE encoding, image cropping and more. -keywords: Ultralytics, Mask Data, Transformation, Encoding, RLE encoding, Image cropping, Pytorch, SAM, AMG, Ultralytics model +description: Explore the detailed API reference for Ultralytics SAM/AMG models, including functions for mask stability scores, crop box generation, and more. +keywords: Ultralytics, SAM, AMG, API Reference, models, mask stability, crop boxes, data processing, YOLO --- # Reference for `ultralytics/models/sam/amg.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/amg.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/amg.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/amg.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/amg.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/amg.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/amg.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/build.md b/docs/en/reference/models/sam/build.md index 85d93479..f5d25e86 100644 --- a/docs/en/reference/models/sam/build.md +++ b/docs/en/reference/models/sam/build.md @@ -1,13 +1,13 @@ --- -description: Master building SAM ViT models with Ultralytics. Discover steps to leverage the power of SAM and Vision Transformer sessions. -keywords: Ultralytics, SAM, build sam, vision transformer, vits, build_sam_vit_l, build_sam_vit_b, build_sam +description: Discover detailed instructions for building various Segment Anything Model (SAM) architectures with Ultralytics, including SAM ViT and Mobile-SAM. +keywords: Ultralytics, SAM model, Segment Anything Model, SAM ViT, Mobile-SAM, model building, deep learning, AI --- # Reference for `ultralytics/models/sam/build.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/build.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/build.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/build.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/build.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/build.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/build.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/model.md b/docs/en/reference/models/sam/model.md index 1987609f..1d01cb30 100644 --- a/docs/en/reference/models/sam/model.md +++ b/docs/en/reference/models/sam/model.md @@ -1,13 +1,13 @@ --- -description: Dive into the SAM model details in the Ultralytics YOLO documentation. Understand, implement, and optimize your model use. -keywords: Ultralytics, YOLO, SAM Model, Documentations, Machine Learning, AI, Convolutional neural network +description: Explore the SAM (Segment Anything Model) interface for real-time image segmentation. Learn about promptable segmentation and zero-shot capabilities. +keywords: Ultralytics, SAM, Segment Anything Model, image segmentation, real-time segmentation, zero-shot performance, promptable segmentation, SA-1B dataset --- # Reference for `ultralytics/models/sam/model.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/model.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/model.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/model.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/modules/decoders.md b/docs/en/reference/models/sam/modules/decoders.md index 2c504414..4c7bceaf 100644 --- a/docs/en/reference/models/sam/modules/decoders.md +++ b/docs/en/reference/models/sam/modules/decoders.md @@ -1,13 +1,13 @@ --- -description: Explore MaskDecoder, a part of the Ultralytics models. Gain insights on how to utilize it effectively in the SAM modules decoders MLP. -keywords: Ultralytics, MaskDecoder, SAM modules, decoders, MLP, YOLO, machine learning, image recognition +description: Explore the MaskDecoder and MLP modules in Ultralytics for efficient mask prediction using transformer architecture. Detailed attributes, functionalities, and implementation. +keywords: Ultralytics, MaskDecoder, MLP, machine learning, transformer architecture, mask prediction, neural networks, PyTorch modules --- # Reference for `ultralytics/models/sam/modules/decoders.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/decoders.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/decoders.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/modules/encoders.md b/docs/en/reference/models/sam/modules/encoders.md index 080de3c8..f8be7f1b 100644 --- a/docs/en/reference/models/sam/modules/encoders.md +++ b/docs/en/reference/models/sam/modules/encoders.md @@ -1,13 +1,13 @@ --- -description: Discover detailed information on ImageEncoderViT, PositionEmbeddingRandom, Attention, window_partition, get_rel_pos and more in Ultralytics models encoders documentation. -keywords: Ultralytics, Encoders, Modules, Documentation, ImageEncoderViT, PositionEmbeddingRandom, Attention, window_partition, get_rel_pos +description: Explore detailed documentation of various SAM encoder modules such as ImageEncoderViT, PromptEncoder, and more, available in Ultralytics' repository. +keywords: Ultralytics, SAM encoder, ImageEncoderViT, PromptEncoder, PositionEmbeddingRandom, Block, Attention, PatchEmbed --- # Reference for `ultralytics/models/sam/modules/encoders.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/encoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/encoders.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/encoders.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/encoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/encoders.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/encoders.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/modules/sam.md b/docs/en/reference/models/sam/modules/sam.md index 871967d9..d0cefde4 100644 --- a/docs/en/reference/models/sam/modules/sam.md +++ b/docs/en/reference/models/sam/modules/sam.md @@ -1,13 +1,13 @@ --- -description: Explore the Sam module of Ultralytics. Discover detailed methods, classes, and information for efficient deep-learning model training!. -keywords: Ultralytics, Sam module, deep learning, model training, Ultralytics documentation +description: Discover the Ultralytics Sam module for object segmentation. Learn about its components, such as image encoders and mask decoders, in this comprehensive guide. +keywords: Ultralytics, Sam Module, object segmentation, image encoder, mask decoder, prompt encoder, AI, machine learning --- # Reference for `ultralytics/models/sam/modules/sam.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/sam.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/sam.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/sam.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/sam.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/sam.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/sam.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/modules/tiny_encoder.md b/docs/en/reference/models/sam/modules/tiny_encoder.md index 8712102c..dcbed970 100644 --- a/docs/en/reference/models/sam/modules/tiny_encoder.md +++ b/docs/en/reference/models/sam/modules/tiny_encoder.md @@ -1,13 +1,13 @@ --- -description: Get in-depth insights about Ultralytics Tiny Encoder Modules such as Conv2d_BN, MBConv, ConvLayer, Attention, BasicLayer, and TinyViT. Improve your understanding of machine learning model components. -keywords: Ultralytics, Tiny Encoder, Conv2d_BN, MBConv, ConvLayer, Attention, BasicLayer, TinyViT, Machine learning modules, Ultralytics models +description: Explore the detailed implementation of TinyViT architecture including Conv2d_BN, PatchEmbed, MBConv, and more in Ultralytics. +keywords: Ultralytics, TinyViT, Conv2d_BN, PatchEmbed, MBConv, Attention, PyTorch, YOLO, Deep Learning --- # Reference for `ultralytics/models/sam/modules/tiny_encoder.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/tiny_encoder.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/tiny_encoder.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/tiny_encoder.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/modules/transformer.md b/docs/en/reference/models/sam/modules/transformer.md index 308542c6..8c258bfc 100644 --- a/docs/en/reference/models/sam/modules/transformer.md +++ b/docs/en/reference/models/sam/modules/transformer.md @@ -1,13 +1,13 @@ --- -description: Learn about TwoWayTransformer and Attention modules in Ultralytics. Leverage these tools to enhance your AI models. -keywords: Ultralytics, TwoWayTransformer, Attention, AI models, transformers +description: Explore the TwoWayTransformer module in Ultralytics, designed for simultaneous attention to image and query points. Ideal for object detection and segmentation tasks. +keywords: Ultralytics, TwoWayTransformer, module, deep learning, transformer, object detection, image segmentation, attention mechanism, neural networks --- # Reference for `ultralytics/models/sam/modules/transformer.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/transformer.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/transformer.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/transformer.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/transformer.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/sam/predict.md b/docs/en/reference/models/sam/predict.md index 5d2dcae0..84d1ba88 100644 --- a/docs/en/reference/models/sam/predict.md +++ b/docs/en/reference/models/sam/predict.md @@ -1,13 +1,13 @@ --- -description: Master the ultralytics.models.sam.predict.Predictor class with our comprehensive guide. Discover techniques to enhance your model predictions. -keywords: Ultralytics, predictor, models, sam.predict.Predictor, AI, machine learning, predictive models +description: Explore Ultralytics SAM Predictor for advanced, real-time image segmentation using the Segment Anything Model (SAM). Complete implementation details and auxiliary utilities. +keywords: Ultralytics, SAM, Segment Anything Model, image segmentation, real-time, prediction, AI, machine learning, Python, torch, inference --- # Reference for `ultralytics/models/sam/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/utils/loss.md b/docs/en/reference/models/utils/loss.md index 3291b3a0..827803bf 100644 --- a/docs/en/reference/models/utils/loss.md +++ b/docs/en/reference/models/utils/loss.md @@ -1,13 +1,13 @@ --- -description: Learn to use the DETRLoss function provided by Ultralytics YOLO. Understand how to utilize loss in RTDETR detection models to improve accuracy. -keywords: Ultralytics, YOLO, Documentation, DETRLoss, Detection Loss, Loss function, DETR, RTDETR Detection Models +description: Explore detailed implementations of loss functions for DETR and RT-DETR models in Ultralytics. +keywords: ultralytics, YOLO, DETR, RT-DETR, loss functions, object detection, deep learning, focal loss, varifocal loss, Hungarian matcher --- # Reference for `ultralytics/models/utils/loss.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/loss.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/loss.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/utils/loss.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/loss.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/loss.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/utils/loss.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/utils/ops.md b/docs/en/reference/models/utils/ops.md index 3e6260b2..61fc2927 100644 --- a/docs/en/reference/models/utils/ops.md +++ b/docs/en/reference/models/utils/ops.md @@ -1,13 +1,13 @@ --- -description: Discover details for "HungarianMatcher" & "inverse_sigmoid" functions in Ultralytics YOLO, advanced tools supporting detection models. -keywords: Ultralytics, YOLO, HungarianMatcher, inverse_sigmoid, detection models, model utilities, ops +description: Explore the utilities and operations in Ultralytics models like HungarianMatcher and get_cdn_group. Learn how to optimize and manage model operations efficiently. +keywords: Ultralytics, models, utils, operations, HungarianMatcher, get_cdn_group, model optimization, pytorch, machine learning --- # Reference for `ultralytics/models/utils/ops.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/ops.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/ops.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/utils/ops.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/ops.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/utils/ops.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/utils/ops.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/classify/predict.md b/docs/en/reference/models/yolo/classify/predict.md index 959f651b..8e802dc0 100644 --- a/docs/en/reference/models/yolo/classify/predict.md +++ b/docs/en/reference/models/yolo/classify/predict.md @@ -1,13 +1,13 @@ --- -description: Explore the Ultralytics ClassificationPredictor guide for model prediction and visualization. Build powerful AI models with YOLO. -keywords: Ultralytics, classification predictor, predict, YOLO, AI models, model visualization +description: Learn about the ClassificationPredictor class for YOLO models at Ultralytics. Get details on initialization, preprocessing, and postprocessing for classification tasks. +keywords: YOLO, ClassificationPredictor, Ultralytics, model prediction, preprocess, postprocess, deep learning, machine learning --- # Reference for `ultralytics/models/yolo/classify/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/classify/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/classify/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/classify/train.md b/docs/en/reference/models/yolo/classify/train.md index 22c0d61f..9bd3b804 100644 --- a/docs/en/reference/models/yolo/classify/train.md +++ b/docs/en/reference/models/yolo/classify/train.md @@ -1,13 +1,13 @@ --- -description: Delve into Classification Trainer at Ultralytics YOLO docs and optimize your model's training process with insights from the masters!. -keywords: Ultralytics, YOLO, Classification Trainer, deep learning, training process, AI models, documentation +description: Explore the train.py module in Ultralytics YOLO for efficient classification model training. Learn more with examples and detailed code documentation. +keywords: YOLO, Ultralytics, classification, training, machine learning, deep learning, PyTorch, train.py --- # Reference for `ultralytics/models/yolo/classify/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/classify/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/classify/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/classify/val.md b/docs/en/reference/models/yolo/classify/val.md index 7c6d2a9a..b8c04c33 100644 --- a/docs/en/reference/models/yolo/classify/val.md +++ b/docs/en/reference/models/yolo/classify/val.md @@ -1,13 +1,13 @@ --- -description: Explore YOLO ClassificationValidator, a key element of Ultralytics YOLO models. Learn how it validates and fine-tunes model outputs. -keywords: Ultralytics, YOLO, ClassificationValidator, model validation, model fine-tuning, deep learning, computer vision +description: Explore the source code and functionalities of the YOLO Classification Validator in Ultralytics for evaluating classification models effectively. +keywords: Ultralytics, YOLO, classification, validation, ClassifyMetrics, ConfusionMatrix, PyTorch, deep learning, model evaluation, AI, machine learning --- # Reference for `ultralytics/models/yolo/classify/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/classify/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/classify/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/classify/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/detect/predict.md b/docs/en/reference/models/yolo/detect/predict.md index e1206bfe..6548817d 100644 --- a/docs/en/reference/models/yolo/detect/predict.md +++ b/docs/en/reference/models/yolo/detect/predict.md @@ -1,13 +1,13 @@ --- -description: Explore the guide to using the DetectionPredictor in Ultralytics YOLO. Learn how to predict, detect and analyze objects accurately. -keywords: Ultralytics, YOLO, DetectionPredictor, detect, predict, object detection, analysis +description: Explore the Ultralytics YOLO Detection Predictor. Learn how to implement and use the DetectionPredictor class for object detection in Python. +keywords: YOLO, Ultralytics, DetectionPredictor, object detection, Python, machine learning, AI, non_max_suppression --- # Reference for `ultralytics/models/yolo/detect/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/detect/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/detect/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/detect/train.md b/docs/en/reference/models/yolo/detect/train.md index f1643b3d..081a3586 100644 --- a/docs/en/reference/models/yolo/detect/train.md +++ b/docs/en/reference/models/yolo/detect/train.md @@ -1,13 +1,13 @@ --- -description: Maximize your model's potential with Ultralytics YOLO Detection Trainer. Learn advanced techniques, tips, and tricks for training. -keywords: Ultralytics YOLO, YOLO, Detection Trainer, Model Training, Machine Learning, Deep Learning, Computer Vision +description: Learn about the DetectionTrainer class for training YOLO models on custom datasets. Discover methods, examples, and more. +keywords: Ultralytics, YOLO, DetectionTrainer, training, object detection, machine learning, build dataset, dataloader, detection model --- # Reference for `ultralytics/models/yolo/detect/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/detect/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/detect/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/detect/val.md b/docs/en/reference/models/yolo/detect/val.md index 31e0e1ae..8cf8b218 100644 --- a/docs/en/reference/models/yolo/detect/val.md +++ b/docs/en/reference/models/yolo/detect/val.md @@ -1,13 +1,13 @@ --- -description: Discover function valuation of your YOLO models with the Ultralytics Detection Validator. Enhance precision and recall rates today. -keywords: Ultralytics, YOLO, Detection Validator, model valuation, precision, recall +description: Explore the DetectionValidator class for YOLO models in Ultralytics. Learn validation techniques, metrics, and dataset handling for object detection. +keywords: YOLO validation, detection validation, YOLO metrics, Ultralytics, object detection, machine learning, AI --- # Reference for `ultralytics/models/yolo/detect/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/detect/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/detect/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/detect/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/model.md b/docs/en/reference/models/yolo/model.md index c5bc8319..71a6b3e8 100644 --- a/docs/en/reference/models/yolo/model.md +++ b/docs/en/reference/models/yolo/model.md @@ -1,13 +1,13 @@ --- -description: Explore the powerful YOLO model for object detection, including YOLOWorld for enhanced capabilities. Learn about classification, detection, segmentation, and more. -keywords: Ultralytics YOLO, object detection, YOLOWorld, classification, detection, segmentation, pose estimation +description: Explore the ultralytics.models.yolo.model module for YOLO object detection. Learn initialization, model mapping, and more. +keywords: YOLO, object detection, Ultralytics, YOLO model, machine learning, Python, model initialization --- # Reference for `ultralytics/models/yolo/model.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/model.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/model.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/model.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/obb/predict.md b/docs/en/reference/models/yolo/obb/predict.md index ef37848f..a3914cd6 100644 --- a/docs/en/reference/models/yolo/obb/predict.md +++ b/docs/en/reference/models/yolo/obb/predict.md @@ -1,13 +1,13 @@ --- -description: Discover OBBPredictor for YOLO, specializing in Oriented Bounding Box predictions. Essential for advanced object detection with Ultralytics YOLO. -keywords: Ultralytics, OBBPredictor, YOLO, Oriented Bounding Box, object detection, advanced object detection, YOLO model, deep learning, AI, machine learning, computer vision, OBB detection +description: Learn how to use the Ultralytics YOLO OBBPredictor for oriented bounding box predictions. Enhance your object detection models with ease. +keywords: Ultralytics, YOLO, OBBPredictor, oriented bounding box, object detection, AI, machine learning, PyTorch --- # Reference for `ultralytics/models/yolo/obb/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/obb/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/obb/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/obb/train.md b/docs/en/reference/models/yolo/obb/train.md index 15b48314..6f45aecb 100644 --- a/docs/en/reference/models/yolo/obb/train.md +++ b/docs/en/reference/models/yolo/obb/train.md @@ -1,13 +1,13 @@ --- -description: Master the Ultralytics YOLO OBB Trainer - A specialized tool for training YOLO models using Oriented Bounding Boxes. Features detailed usage, model initialization, and training processes. -keywords: Ultralytics, YOLO OBB Trainer, Oriented Bounding Box, OBB model training, YOLO model training, computer vision, deep learning, machine learning, YOLO object detection, model initialization, YOLO training process +description: Explore the Ultralytics YOLO OBB Trainer class for efficient training with Oriented Bounding Box models. Learn with examples and method details. +keywords: Ultralytics, YOLO, OBB Trainer, Oriented Bounding Box, Machine Learning, Training, AI --- # Reference for `ultralytics/models/yolo/obb/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/obb/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/obb/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/obb/val.md b/docs/en/reference/models/yolo/obb/val.md index 46a75c80..c0022b0b 100644 --- a/docs/en/reference/models/yolo/obb/val.md +++ b/docs/en/reference/models/yolo/obb/val.md @@ -1,13 +1,13 @@ --- -description: Learn about Ultralytics' advanced OBBValidator, an extension of YOLO object detection for oriented bounding box validation. -keywords: Ultralytics, YOLO, OBBValidator, object detection, oriented bounding box, OBB, machine learning, AI, deep learning, Python, YOLO model, image processing, computer vision, YOLO object detection +description: Explore the OBBValidator for YOLO, an advanced class for oriented bounding boxes (OBB). Learn initialization, processes, and evaluation methods. +keywords: Ultralytics, YOLO, OBBValidator, Oriented Bounding Boxes, DetectionValidator, validation, Python, deep learning --- # Reference for `ultralytics/models/yolo/obb/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/obb/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/obb/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/obb/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/pose/predict.md b/docs/en/reference/models/yolo/pose/predict.md index 7899b25b..dc032349 100644 --- a/docs/en/reference/models/yolo/pose/predict.md +++ b/docs/en/reference/models/yolo/pose/predict.md @@ -1,13 +1,13 @@ --- -description: Discover how to use PosePredictor in the Ultralytics YOLO model. Includes detailed guides, code examples, and explanations. -keywords: Ultralytics, YOLO, PosePredictor, machine learning, AI, predictive models +description: Learn about the PosePredictor class for YOLO model predictions on pose data. Get setup instructions, example usage, and implementation details. +keywords: YOLO, Pose Prediction, Ultralytics, PosePredictor, YOLOv8, Machine Learning, Deep Learning, Python, AI Models --- # Reference for `ultralytics/models/yolo/pose/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/pose/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/pose/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/pose/train.md b/docs/en/reference/models/yolo/pose/train.md index e700f58e..695f9126 100644 --- a/docs/en/reference/models/yolo/pose/train.md +++ b/docs/en/reference/models/yolo/pose/train.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics PoseTrainer for YOLO models. Get a step-by-step guide on how to train on custom pose data for more accurate AI modeling. -keywords: Ultralytics, YOLO, PoseTrainer, pose training, AI modeling, custom data training +description: Explore the PoseTrainer class for training pose models using YOLO from Ultralytics. Includes initialization, model configuration, and plotting methods. +keywords: PoseTrainer, YOLO, Ultralytics, pose models, training, model configuration, deep learning, machine learning, pose estimation --- # Reference for `ultralytics/models/yolo/pose/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/pose/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/pose/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/pose/val.md b/docs/en/reference/models/yolo/pose/val.md index f21dcad6..133b5155 100644 --- a/docs/en/reference/models/yolo/pose/val.md +++ b/docs/en/reference/models/yolo/pose/val.md @@ -1,13 +1,13 @@ --- -description: Explore the PoseValidator—review how Ultralytics YOLO validates poses for object detection. Improve your understanding of YOLO. -keywords: PoseValidator, Ultralytics, YOLO, Object detection, Pose validation +description: Explore the PoseValidator class for YOLO models. Learn how to extend DetectionValidator for pose validation with example code and detailed methods. +keywords: Ultralytics, YOLO, PoseValidator, pose validation, machine learning, object detection, keypoints, python code, AI, deep learning --- # Reference for `ultralytics/models/yolo/pose/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/pose/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/pose/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/pose/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/segment/predict.md b/docs/en/reference/models/yolo/segment/predict.md index 9ba7d715..f30d5fbc 100644 --- a/docs/en/reference/models/yolo/segment/predict.md +++ b/docs/en/reference/models/yolo/segment/predict.md @@ -1,13 +1,13 @@ --- -description: Discover how to utilize the YOLO Segmentation Predictor in Ultralytics. Enhance your objects detection skills with us. -keywords: YOLO, Ultralytics, object detection, segmentation predictor +description: Understand the SegmentationPredictor class for segmentation-based predictions using YOLO. Learn more about its implementation and example usage. +keywords: YOLO, SegmentationPredictor, machine learning, computer vision, object detection, Ultralytics, prediction, model, non-max suppression --- # Reference for `ultralytics/models/yolo/segment/predict.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/predict.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/segment/predict.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/predict.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/predict.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/segment/predict.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/segment/train.md b/docs/en/reference/models/yolo/segment/train.md index af8fd4e1..342eeeec 100644 --- a/docs/en/reference/models/yolo/segment/train.md +++ b/docs/en/reference/models/yolo/segment/train.md @@ -1,13 +1,13 @@ --- -description: Maximize your YOLO model's performance with our SegmentationTrainer. Explore comprehensive guides and tutorials on ultralytics.com. -keywords: Ultralytics, YOLO, SegmentationTrainer, image segmentation, object detection, model training, YOLO model +description: Learn how to train YOLO models for segmentation tasks with Ultralytics. Explore the SegmentationTrainer class and its functionalities. +keywords: YOLO, segmentation, train, Ultralytics, SegmentationTrainer, Python, machine learning, deep learning, tutorials --- # Reference for `ultralytics/models/yolo/segment/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/segment/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/segment/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/segment/val.md b/docs/en/reference/models/yolo/segment/val.md index be0788c3..e630939d 100644 --- a/docs/en/reference/models/yolo/segment/val.md +++ b/docs/en/reference/models/yolo/segment/val.md @@ -1,13 +1,13 @@ --- -description: Get practical insights about our SegmentationValidator in YOLO Ultralytics models. Discover functionality details, methods, inputs, and outputs. -keywords: Ultralytics, YOLO, SegmentationValidator, model segmentation, image classification, object detection +description: Explore the YOLO Segmentation Validator module for validating segment models. Understand its usage, metrics, and implementation within the Ultralytics framework. +keywords: YOLO, segmentation, validator, Ultralytics, model validation, machine learning, deep learning, AI, computer vision --- # Reference for `ultralytics/models/yolo/segment/val.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/val.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/segment/val.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/val.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/segment/val.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/segment/val.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/world/train.md b/docs/en/reference/models/yolo/world/train.md index fd542057..63624fce 100644 --- a/docs/en/reference/models/yolo/world/train.md +++ b/docs/en/reference/models/yolo/world/train.md @@ -1,13 +1,13 @@ --- -description: Detailed guide on the Ultralytics YOLO WorldTrainer class, including methods for fine-tuning world models and dataset building. -keywords: Ultralytics, YOLO, WorldTrainer, WorldModel, training, dataset, machine learning, AI, deep learning, computer vision, ViT-B/32, clip +description: Learn how to train a World Model with Ultralytics YOLO using advanced techniques and customizable options for optimal performance. +keywords: Ultralytics, YOLO, World Model, training, deep learning, computer vision, AI, machine learning, tutorial --- # Reference for `ultralytics/models/yolo/world/train.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/world/train.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/world/train.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/models/yolo/world/train_world.md b/docs/en/reference/models/yolo/world/train_world.md index 4b35eca6..27e0ce77 100644 --- a/docs/en/reference/models/yolo/world/train_world.md +++ b/docs/en/reference/models/yolo/world/train_world.md @@ -1,13 +1,13 @@ --- -description: Comprehensive guide on the WorldTrainerFromScratch class for training YOLO world models from scratch on open-set datasets. -keywords: YOLO, WorldTrainerFromScratch, Ultralytics, YOLO world models, open-set datasets, deep learning, machine learning, computer vision, dataset building, ViT-B/32, CLIP, training +description: Explore the WorldTrainerFromScratch in YOLO for open-set datasets. Learn how to build, train, and evaluate models efficiently. +keywords: YOLO, WorldTrainer, open-set datasets, training, evaluation, build dataset, YOLO World, machine learning --- # Reference for `ultralytics/models/yolo/world/train_world.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train_world.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train_world.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/world/train_world.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train_world.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/yolo/world/train_world.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/yolo/world/train_world.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/autobackend.md b/docs/en/reference/nn/autobackend.md index faf22345..3e8c2f7a 100644 --- a/docs/en/reference/nn/autobackend.md +++ b/docs/en/reference/nn/autobackend.md @@ -7,7 +7,7 @@ keywords: Ultralytics, AutoBackend, check_class_names, YOLO, YOLO models, optimi !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/autobackend.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/autobackend.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/autobackend.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/modules/block.md b/docs/en/reference/nn/modules/block.md index 99f08a74..5679a4cc 100644 --- a/docs/en/reference/nn/modules/block.md +++ b/docs/en/reference/nn/modules/block.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics YOLO neural network modules, Proto to BottleneckCSP. Detailed explanation of each module with easy-to-follow code examples. -keywords: YOLO, Ultralytics, neural network, nn.modules.block, Proto, HGBlock, SPPF, C2, C3, RepC3, C3Ghost, Bottleneck, BottleneckCSP +description: Explore detailed documentation of block modules in Ultralytics, available for deep learning tasks. Contribute and improve the codebase!. +keywords: Ultralytics, YOLO, neural networks, block modules, DFL, Proto, HGStem, HGBlock, SPP, SPPF, C1, C2, C2f, C3, C3x, RepC3, C3TR, C3Ghost, GhostBottleneck, Bottleneck, BottleneckCSP, ResNetBlock, MaxSigmoidAttnBlock, ImagePoolingAttn, ContrastiveHead, RepBottleneck, RepCSP, RepNCSPELAN4, ADown, SPPELAN, Silence, CBLinear, CBFuse --- # Reference for `ultralytics/nn/modules/block.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/block.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/block.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/block.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/modules/conv.md b/docs/en/reference/nn/modules/conv.md index e542349e..501a0b5a 100644 --- a/docs/en/reference/nn/modules/conv.md +++ b/docs/en/reference/nn/modules/conv.md @@ -1,13 +1,13 @@ --- -description: Explore various Ultralytics convolution modules including Conv2, DWConv, ConvTranspose, GhostConv, Channel Attention and more. -keywords: Ultralytics, Convolution Modules, Conv2, DWConv, ConvTranspose, GhostConv, ChannelAttention, CBAM, autopad +description: Explore detailed documentation on convolution modules like Conv, LightConv, GhostConv, and more used in Ultralytics models. +keywords: Ultralytics, convolution modules, Conv, LightConv, GhostConv, YOLO, deep learning, neural networks --- # Reference for `ultralytics/nn/modules/conv.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/conv.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/conv.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/conv.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/modules/head.md b/docs/en/reference/nn/modules/head.md index 30f7fb6a..6dc3e442 100644 --- a/docs/en/reference/nn/modules/head.md +++ b/docs/en/reference/nn/modules/head.md @@ -7,7 +7,7 @@ keywords: Ultralytics, YOLO, Detection, Pose, RTDETRDecoder, nn modules, guides !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/head.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/head.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/head.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/modules/transformer.md b/docs/en/reference/nn/modules/transformer.md index 6e6992d1..91904be5 100644 --- a/docs/en/reference/nn/modules/transformer.md +++ b/docs/en/reference/nn/modules/transformer.md @@ -7,7 +7,7 @@ keywords: Ultralytics, Ultralytics documentation, TransformerEncoderLayer, Trans !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/transformer.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/transformer.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/transformer.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/modules/utils.md b/docs/en/reference/nn/modules/utils.md index 7e1a34d4..eb17c2df 100644 --- a/docs/en/reference/nn/modules/utils.md +++ b/docs/en/reference/nn/modules/utils.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics neural network utils, such as bias_init_with_prob, inverse_sigmoid and multi_scale_deformable_attn_pytorch functions. -keywords: Ultralytics, neural network, nn.modules.utils, bias_init_with_prob, inverse_sigmoid, multi_scale_deformable_attn_pytorch +description: Explore the detailed reference of utility functions in the Ultralytics PyTorch modules. Learn about initialization, inverse sigmoid, and multiscale deformable attention. +keywords: Ultralytics, PyTorch, utils, initialization, inverse sigmoid, multiscale deformable attention, deep learning, neural networks --- # Reference for `ultralytics/nn/modules/utils.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/utils.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/modules/utils.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/modules/utils.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/nn/tasks.md b/docs/en/reference/nn/tasks.md index 355578a6..66d2e0e1 100644 --- a/docs/en/reference/nn/tasks.md +++ b/docs/en/reference/nn/tasks.md @@ -7,7 +7,7 @@ keywords: Ultralytics, YOLO, nn tasks, DetectionModel, PoseModel, RTDETRDetectio !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/tasks.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/nn/tasks.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/nn/tasks.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/ai_gym.md b/docs/en/reference/solutions/ai_gym.md index 69a96fe3..963a7ee9 100644 --- a/docs/en/reference/solutions/ai_gym.md +++ b/docs/en/reference/solutions/ai_gym.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics YOLO's advanced AI Gym feature for real-time pose estimation and gym exercise tracking using cutting-edge machine learning technology. -keywords: Ultralytics, YOLO, AI Gym, pose estimation, real-time tracking, machine learning, exercise counting, AI fitness, computer vision, gym workout analysis, YOLOv8, artificial intelligence, fitness technology +description: Explore the AI Gym class for real-time pose detection and gym step counting using Ultralytics YOLO. Learn to implement pose estimation effectively. +keywords: Ultralytics, AI Gym, YOLO, pose detection, gym step counting, real-time pose estimation, Python --- # Reference for `ultralytics/solutions/ai_gym.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/ai_gym.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/ai_gym.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/ai_gym.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/ai_gym.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/ai_gym.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/ai_gym.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/analytics.md b/docs/en/reference/solutions/analytics.md index cb65b2d4..5fc27913 100644 --- a/docs/en/reference/solutions/analytics.md +++ b/docs/en/reference/solutions/analytics.md @@ -1,13 +1,13 @@ --- -description: This script integrates Ultralytics YOLO with OpenCV and Matplotlib to create and update line, bar, and pie charts for real-time data visualization in video processing. -keywords: Ultralytics, YOLO, data visualization, OpenCV, Matplotlib, line chart, bar chart, pie chart, real-time analytics, video processing, machine learning, computer vision, AGPL-3.0 +description: Explore the Analytics class in Ultralytics for visual analytics. Learn to create and update line, bar, and pie charts efficiently. +keywords: Ultralytics, Analytics, Python, visual analytics, line chart, bar chart, pie chart, data visualization, AGPL-3.0 license --- # Reference for `ultralytics/solutions/analytics.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/analytics.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/analytics.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/analytics.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/analytics.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/analytics.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/analytics.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/distance_calculation.md b/docs/en/reference/solutions/distance_calculation.md index 14cced81..d663fd73 100644 --- a/docs/en/reference/solutions/distance_calculation.md +++ b/docs/en/reference/solutions/distance_calculation.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics YOLO's distance calculation feature designed for advance analytics, providing an immediate, impactful way to interpret computer vision data. -keywords: Ultralytics, YOLO, distance calculation, object tracking, data visualization, real-time tracking, machine learning, object counting, computer vision, vehicle analytics, YOLOv8, artificial intelligence +description: Explore the Ultralytics distance calculation module. Learn to calculate distances between objects in real-time video streams with our comprehensive guide. +keywords: Ultralytics, distance calculation, object tracking, real-time video, centroid, distance estimation, YOLO, ML, cv2 --- # Reference for `ultralytics/solutions/distance_calculation.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/distance_calculation.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/distance_calculation.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/distance_calculation.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/distance_calculation.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/distance_calculation.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/distance_calculation.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/heatmap.md b/docs/en/reference/solutions/heatmap.md index 22d90bb5..4acdc9fd 100644 --- a/docs/en/reference/solutions/heatmap.md +++ b/docs/en/reference/solutions/heatmap.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics YOLO's advanced Heatmaps feature designed to highlight areas of interest, providing an immediate, impactful way to interpret spatial information. -keywords: Ultralytics, YOLO, heatmaps, object tracking, data visualization, real-time tracking, machine learning, object counting, computer vision, retail analytics, YOLOv8, artificial intelligence +description: Learn how to use the Ultralytics Heatmap module for real-time video analysis with object tracking and heatmap generation. +keywords: Ultralytics, Heatmap, Python, Real-time Video, Object Tracking, cv2, Shapely, Computer Vision, AI --- # Reference for `ultralytics/solutions/heatmap.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/heatmap.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/heatmap.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/heatmap.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/heatmap.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/heatmap.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/heatmap.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/object_counter.md b/docs/en/reference/solutions/object_counter.md index a6b14617..0520f3b5 100644 --- a/docs/en/reference/solutions/object_counter.md +++ b/docs/en/reference/solutions/object_counter.md @@ -1,13 +1,13 @@ --- -description: Transform object tracking with Ultralytics YOLO Object Counter featuring cutting-edge technology for precise real-time counting in video streams. -keywords: Ultralytics YOLO, object tracking software, real-time counting solutions, video stream analysis, YOLOv8 object detection, AI surveillance, smart counting technology, computer vision, AI-powered tracking, object counting accuracy, video analytics tools, automated monitoring. +description: Explore the Ultralytics Object Counter for real-time video streams. Learn about initializing parameters, tracking objects, and more. +keywords: Ultralytics, Object Counter, Real-time Tracking, Video Stream, Python, Object Detection --- # Reference for `ultralytics/solutions/object_counter.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/object_counter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/object_counter.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/object_counter.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/object_counter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/object_counter.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/object_counter.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/parking_management.md b/docs/en/reference/solutions/parking_management.md index 0ef25c74..18ddfa11 100644 --- a/docs/en/reference/solutions/parking_management.md +++ b/docs/en/reference/solutions/parking_management.md @@ -1,13 +1,13 @@ --- -description: Parking management system using Ultralytics YOLO featuring cutting-edge technology for precise real-time occupancy and availability monitoring for parking lots. -keywords: Ultralytics YOLO, object tracking software, real-time counting solutions, video stream analysis, YOLOv8 object detection, AI surveillance, smart counting technology, computer vision, AI-powered tracking, object counting accuracy, video analytics tools, automated monitoring. +description: Explore Ultralytics' Parking Management solution leveraging YOLO for efficient parking zone monitoring and management. +keywords: Ultralytics, YOLO, parking management, computer vision, parking monitoring, AI solutions, machine learning --- # Reference for `ultralytics/solutions/parking_management.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/parking_management.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/parking_management.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/parking_management.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/parking_management.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/parking_management.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/parking_management.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/queue_management.md b/docs/en/reference/solutions/queue_management.md index c23ac818..b4ff3930 100644 --- a/docs/en/reference/solutions/queue_management.md +++ b/docs/en/reference/solutions/queue_management.md @@ -1,13 +1,13 @@ --- -description: Discover Ultralytics YOLO's AI Queue Management for retail, using advanced machine learning to enhance customer experience with real-time queue analysis and wait time predictions. -keywords: Ultralytics, YOLO, AI Queue Management, retail analytics, queue detection, wait time prediction, machine learning, YOLOv8, customer experience +description: Discover the Ultralytics Queue Management script for real-time object tracking and queue management. +keywords: Ultralytics, queue management, object tracking, real-time video, Python script, YOLO, AGPL-3.0 --- # Reference for `ultralytics/solutions/queue_management.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/queue_management.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/queue_management.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/queue_management.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/queue_management.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/queue_management.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/queue_management.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/solutions/speed_estimation.md b/docs/en/reference/solutions/speed_estimation.md index 9b8ea4c2..ce28e73c 100644 --- a/docs/en/reference/solutions/speed_estimation.md +++ b/docs/en/reference/solutions/speed_estimation.md @@ -1,13 +1,13 @@ --- -description: Transform speed estimation with Ultralytics YOLO speed estimation featuring cutting-edge technology for precise real-time counting in video streams. -keywords: Ultralytics YOLO, speed estimation software, real-time vehicle tracking solutions, video stream analysis, YOLOv8 object detection, smart counting technology, computer vision, AI-powered tracking, video analytics tools, automated monitoring. +description: Explore the Ultralytics YOLO-based speed estimation script for real-time object tracking and speed measurement, optimized for accuracy and performance. +keywords: Ultralytics, speed estimation, YOLO, real-time tracking, object tracking, python --- # Reference for `ultralytics/solutions/speed_estimation.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/speed_estimation.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/speed_estimation.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/speed_estimation.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/speed_estimation.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/solutions/speed_estimation.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/solutions/speed_estimation.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/basetrack.md b/docs/en/reference/trackers/basetrack.md index 89307cf7..3a70cb13 100644 --- a/docs/en/reference/trackers/basetrack.md +++ b/docs/en/reference/trackers/basetrack.md @@ -1,13 +1,13 @@ --- -description: Get familiar with TrackState in Ultralytics. Learn how it is used in the BaseTrack of the Ultralytics tracker for enhanced functionality. -keywords: Ultralytics, TrackState, BaseTrack, Ultralytics tracker, Ultralytics documentation +description: Discover the BaseTrack classes and methods for object tracking in YOLO by Ultralytics. Learn about TrackState, BaseTrack attributes, and methods. +keywords: Ultralytics, YOLO, object tracking, BaseTrack, TrackState, tracking methods, TrackState enumeration, object detection --- # Reference for `ultralytics/trackers/basetrack.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/basetrack.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/basetrack.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/basetrack.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/basetrack.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/basetrack.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/basetrack.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/bot_sort.md b/docs/en/reference/trackers/bot_sort.md index 5fa11886..eb0d68f1 100644 --- a/docs/en/reference/trackers/bot_sort.md +++ b/docs/en/reference/trackers/bot_sort.md @@ -1,13 +1,13 @@ --- -description: Master the use of Ultralytics BOTrack, a key component of the powerful Ultralytics tracking system. Learn to integrate and use BOTSORT in your projects. -keywords: Ultralytics, BOTSORT, BOTrack, tracking system, official documentation, machine learning, AI tracking +description: Explore the robust object tracking capabilities of the BOTrack and BOTSORT classes in the Ultralytics Bot SORT tracker API. Enhance your YOLOv8 projects. +keywords: Ultralytics, Bot SORT, BOTrack, BOTSORT, YOLOv8, object tracking, Kalman filter, ReID, GMC algorithm --- # Reference for `ultralytics/trackers/bot_sort.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/bot_sort.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/bot_sort.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/bot_sort.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/bot_sort.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/bot_sort.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/bot_sort.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/byte_tracker.md b/docs/en/reference/trackers/byte_tracker.md index e9d0cdfd..434dc6e8 100644 --- a/docs/en/reference/trackers/byte_tracker.md +++ b/docs/en/reference/trackers/byte_tracker.md @@ -1,13 +1,13 @@ --- -description: Step-in to explore in-depth the functionalities of Ultralytics BYTETracker under STrack. Gain advanced feature insights to streamline your operations. -keywords: STrack, Ultralytics, BYTETracker, documentation, Ultralytics tracker, object tracking, YOLO +description: Explore the BYTETracker module in Ultralytics for state-of-the-art object tracking using Kalman filtering. Learn about its classes, methods, and attributes. +keywords: Ultralytics, BYTETracker, object tracking, Kalman filter, YOLOv8, documentation --- # Reference for `ultralytics/trackers/byte_tracker.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/byte_tracker.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/byte_tracker.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/byte_tracker.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/byte_tracker.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/byte_tracker.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/byte_tracker.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/track.md b/docs/en/reference/trackers/track.md index 4a9d515b..39a60f4b 100644 --- a/docs/en/reference/trackers/track.md +++ b/docs/en/reference/trackers/track.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics documentation on prediction function starters & register trackers. Understand our code & its applications better. -keywords: Ultralytics, YOLO, on predict start, register tracker, prediction functions, documentation +description: Explore the track.py script for Ultralytics object tracking. Learn how on_predict_start, on_predict_postprocess_end, and register_tracker functions work. +keywords: Ultralytics, YOLO, object tracking, track.py, on_predict_start, on_predict_postprocess_end, register_tracker --- # Reference for `ultralytics/trackers/track.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/track.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/track.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/track.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/track.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/track.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/track.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/utils/gmc.md b/docs/en/reference/trackers/utils/gmc.md index 1a10c73e..fd34d868 100644 --- a/docs/en/reference/trackers/utils/gmc.md +++ b/docs/en/reference/trackers/utils/gmc.md @@ -1,13 +1,13 @@ --- -description: Explore the Ultralytics GMC tool in our comprehensive documentation. Learn how it works, best practices, and implementation advice. -keywords: Ultralytics, GMC utility, Ultralytics documentation, Ultralytics tracker, machine learning tools +description: Explore the Generalized Motion Compensation (GMC) class for tracking and object detection with methods like ORB, SIFT, ECC, and more. +keywords: GMC, Generalized Motion Compensation, Ultralytics, tracking, object detection, ORB, SIFT, ECC, Sparse Optical Flow, computer vision, video frames --- # Reference for `ultralytics/trackers/utils/gmc.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/gmc.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/gmc.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/utils/gmc.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/gmc.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/gmc.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/utils/gmc.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/utils/kalman_filter.md b/docs/en/reference/trackers/utils/kalman_filter.md index cb254470..752c8767 100644 --- a/docs/en/reference/trackers/utils/kalman_filter.md +++ b/docs/en/reference/trackers/utils/kalman_filter.md @@ -1,13 +1,13 @@ --- -description: Explore KalmanFilterXYAH, a key component of Ultralytics trackers. Understand its utilities and learn to leverage it in your own projects. -keywords: Ultralytics, KalmanFilterXYAH, tracker, documentation, guide +description: Explore Kalman filter implementations like KalmanFilterXYAH and KalmanFilterXYWH for tracking bounding boxes in image space using Ultralytics. +keywords: Kalman Filter, Object Tracking, Python, Ultralytics, YOLO, Bounding Boxes, Image Processing --- # Reference for `ultralytics/trackers/utils/kalman_filter.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/kalman_filter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/kalman_filter.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/utils/kalman_filter.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/kalman_filter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/kalman_filter.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/utils/kalman_filter.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/trackers/utils/matching.md b/docs/en/reference/trackers/utils/matching.md index 453459e7..d8e9bd4d 100644 --- a/docs/en/reference/trackers/utils/matching.md +++ b/docs/en/reference/trackers/utils/matching.md @@ -1,13 +1,13 @@ --- -description: Explore in-depth guidance for using Ultralytics trackers utils matching, including merge_matches, linear_assignment, iou_distance, embedding_distance, fuse_motion, and fuse_score. -keywords: Ultralytics, Trackers Utils, Matching, merge_matches, linear_assignment, iou_distance, embedding_distance, fuse_motion, fuse_score, documentation +description: Explore the utility functions for matching in trackers used by Ultralytics, including linear assignment, IoU distance, embedding distance, and more. +keywords: Ultralytics, matching utils, linear assignment, IoU distance, embedding distance, fuse score, tracking, Python, documentation --- # Reference for `ultralytics/trackers/utils/matching.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/matching.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/matching.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/utils/matching.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/matching.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/trackers/utils/matching.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/trackers/utils/matching.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/__init__.md b/docs/en/reference/utils/__init__.md index 6acc73cd..3756835e 100644 --- a/docs/en/reference/utils/__init__.md +++ b/docs/en/reference/utils/__init__.md @@ -1,13 +1,13 @@ --- -description: Explore the Ultralytics Utils package, with handy functions like colorstr, yaml_save, set_logging & more, designed to enhance your coding experience. -keywords: Ultralytics, Utils, utilitarian functions, colorstr, yaml_save, set_logging, is_kaggle, is_docker, clean_url +description: Explore the comprehensive reference for ultralytics.utils in the Ultralytics library. Enhance your ML workflow with these utility functions. +keywords: Ultralytics, utils, TQDM, Python, ML, Machine Learning utilities, YOLO, threading, logging, yaml, settings --- # Reference for `ultralytics/utils/__init__.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/__init__.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/__init__.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/__init__.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/__init__.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/__init__.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/__init__.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/autobatch.md b/docs/en/reference/utils/autobatch.md index aa270d02..c42e121a 100644 --- a/docs/en/reference/utils/autobatch.md +++ b/docs/en/reference/utils/autobatch.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics documentation for check_train_batch_size utility in the autobatch module. Understand how it could improve your machine learning process. -keywords: Ultralytics, check_train_batch_size, autobatch, utility, machine learning, documentation +description: Discover how to automatically estimate the best YOLO batch size for optimal CUDA memory usage in PyTorch using Ultralytics' autobatch utility. +keywords: YOLO batch size, CUDA memory, PyTorch autobatch, Ultralytics, machine learning, optimal batch size, training batch size, YOLO model --- # Reference for `ultralytics/utils/autobatch.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autobatch.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autobatch.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/autobatch.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autobatch.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autobatch.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/autobatch.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/benchmarks.md b/docs/en/reference/utils/benchmarks.md index 4490737f..50ab51a2 100644 --- a/docs/en/reference/utils/benchmarks.md +++ b/docs/en/reference/utils/benchmarks.md @@ -1,13 +1,13 @@ --- -description: Discover how to profile your models using Ultralytics utilities. Enhance performance, optimize your benchmarks, and learn best practices. -keywords: Ultralytics, ProfileModels, benchmarks, model profiling, performance optimization +description: Explore YOLO model benchmarking for speed and accuracy with formats like PyTorch, ONNX, TensorRT, and more. Detailed profiling & usage guides. +keywords: YOLO, model benchmarking, ONNX, TensorRT, PyTorch, TensorFlow, CoreML, profiling, Ultralytics, model performance --- # Reference for `ultralytics/utils/benchmarks.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/benchmarks.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/benchmarks.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/base.md b/docs/en/reference/utils/callbacks/base.md index 4a18f881..ca49be8d 100644 --- a/docs/en/reference/utils/callbacks/base.md +++ b/docs/en/reference/utils/callbacks/base.md @@ -1,13 +1,13 @@ --- -description: Explore how to use the on-train, on-validation, on-pretrain, and on-predict callbacks in Ultralytics. Learn to update params, save models, and add integration callbacks. -keywords: Ultralytics, Callbacks, On-train, On-validation, On-pretrain, On-predict, Parameters update, Model saving, Integration callbacks +description: Discover the essential base callbacks in Ultralytics for training, validation, prediction, and exporting models efficiently. +keywords: Ultralytics, base callbacks, training, validation, prediction, model export, ML, machine learning, deep learning --- # Reference for `ultralytics/utils/callbacks/base.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/base.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/base.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/base.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/base.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/base.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/base.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/clearml.md b/docs/en/reference/utils/callbacks/clearml.md index 36af86e6..8cb749ac 100644 --- a/docs/en/reference/utils/callbacks/clearml.md +++ b/docs/en/reference/utils/callbacks/clearml.md @@ -1,13 +1,13 @@ --- -description: Uncover the specifics of Ultralytics ClearML callbacks, from pretrain routine start to training end. Boost your ML model performance. -keywords: Ultralytics, clearML, callbacks, pretrain routine start, validation end, train epoch end, training end +description: Learn how to integrate ClearML with Ultralytics YOLO using detailed callbacks for pretraining, training, validation, and final logging. +keywords: Ultralytics, YOLO, ClearML, integration, callbacks, pretraining, training, validation, logging, AI, machine learning --- # Reference for `ultralytics/utils/callbacks/clearml.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/clearml.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/clearml.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/clearml.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/clearml.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/clearml.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/clearml.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/comet.md b/docs/en/reference/utils/callbacks/comet.md index fa90493d..d6fb342c 100644 --- a/docs/en/reference/utils/callbacks/comet.md +++ b/docs/en/reference/utils/callbacks/comet.md @@ -1,13 +1,13 @@ --- -description: Explore comprehensive documentation for utilising Comet Callbacks in Ultralytics. Learn to optimise training, logging, and experiment workflows. -keywords: Ultralytics, Comet Callbacks, Training optimisation, Logging, Experiment Workflows +description: Explore the integration of Comet callbacks in Ultralytics YOLO, enabling advanced logging and monitoring for your machine learning experiments. +keywords: Ultralytics, YOLO, Comet, callbacks, logging, machine learning, monitoring, integration --- # Reference for `ultralytics/utils/callbacks/comet.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/comet.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/comet.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/comet.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/comet.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/comet.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/comet.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/dvc.md b/docs/en/reference/utils/callbacks/dvc.md index a430790b..04c86e63 100644 --- a/docs/en/reference/utils/callbacks/dvc.md +++ b/docs/en/reference/utils/callbacks/dvc.md @@ -1,13 +1,13 @@ --- -description: Browse through Ultralytics YOLO docs to learn about important logging and callback functions used in training and pretraining models. -keywords: Ultralytics, YOLO, callbacks, logger, training, pretraining, machine learning, models +description: Learn to integrate DVCLive with Ultralytics for enhanced logging during training. Step-by-step methods for setting up and optimizing DVC callbacks. +keywords: Ultralytics, DVC, DVCLive, machine learning, logging, training, callbacks, integration --- # Reference for `ultralytics/utils/callbacks/dvc.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/dvc.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/dvc.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/dvc.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/dvc.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/dvc.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/dvc.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/hub.md b/docs/en/reference/utils/callbacks/hub.md index 596016f1..c4620b55 100644 --- a/docs/en/reference/utils/callbacks/hub.md +++ b/docs/en/reference/utils/callbacks/hub.md @@ -1,13 +1,13 @@ --- -description: Explore the detailed information on key Ultralytics callbacks such as on_pretrain_routine_end, on_model_save, on_train_start, and on_predict_start. -keywords: Ultralytics, callbacks, on_pretrain_routine_end, on_model_save, on_train_start, on_predict_start, hub, training +description: Explore detailed guides on Ultralytics callbacks, including pretrain, model save, train start/end, and more. Enhance your ML training workflows with ease. +keywords: Ultralytics, callbacks, pretrain, model save, train start, train end, validation, predict, export, training, machine learning --- # Reference for `ultralytics/utils/callbacks/hub.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/hub.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/hub.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/hub.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/hub.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/hub.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/hub.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/mlflow.md b/docs/en/reference/utils/callbacks/mlflow.md index 484368f0..0480eadd 100644 --- a/docs/en/reference/utils/callbacks/mlflow.md +++ b/docs/en/reference/utils/callbacks/mlflow.md @@ -1,13 +1,13 @@ --- -description: Understand routines at the end of pre-training and training in Ultralytics. Elevate your MLflow callbacks expertise. -keywords: Ultralytics, MLflow, Callbacks, on_pretrain_routine_end, on_train_end, Machine Learning, Training +description: Learn how to set up and customize MLflow logging for Ultralytics YOLO. Log metrics, parameters, and model artifacts easily. +keywords: MLflow, Ultralytics YOLO, logging, metrics, parameters, model artifacts, setup, tracking, customization --- # Reference for `ultralytics/utils/callbacks/mlflow.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/mlflow.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/mlflow.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/mlflow.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/mlflow.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/mlflow.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/mlflow.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/neptune.md b/docs/en/reference/utils/callbacks/neptune.md index bd0b7d50..3788906d 100644 --- a/docs/en/reference/utils/callbacks/neptune.md +++ b/docs/en/reference/utils/callbacks/neptune.md @@ -1,13 +1,13 @@ --- -description: Explore exhaustive details about Ultralytics callbacks in Neptune, with specifics about scalar logging, routine start, and more. -keywords: Ultralytics, Neptune callbacks, on_train_epoch_end, on_val_end, _log_plot, _log_images, on_pretrain_routine_start, on_fit_epoch_end, on_train_end +description: Learn how to use NeptuneAI with Ultralytics for advanced logging and tracking of experiments. Detailed setup and callback functions included. +keywords: Ultralytics, NeptuneAI, YOLO, experiment logging, machine learning, AI, callbacks, training, validation --- # Reference for `ultralytics/utils/callbacks/neptune.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/neptune.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/neptune.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/neptune.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/neptune.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/neptune.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/neptune.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/raytune.md b/docs/en/reference/utils/callbacks/raytune.md index 1154a42f..e27423d0 100644 --- a/docs/en/reference/utils/callbacks/raytune.md +++ b/docs/en/reference/utils/callbacks/raytune.md @@ -1,13 +1,13 @@ --- -description: Discover the functionality of the on_fit_epoch_end callback in the Ultralytics YOLO framework. Learn how to end an epoch in your deep learning projects. -keywords: Ultralytics, YOLO, on_fit_epoch_end, callbacks, documentation, deep learning, YOLO framework +description: Learn how to integrate Ray Tune with Ultralytics YOLO for efficient hyperparameter tuning and performance tracking. +keywords: Ultralytics, Ray Tune, hyperparameter tuning, YOLO, machine learning, deep learning, callbacks, integration, training metrics --- # Reference for `ultralytics/utils/callbacks/raytune.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/raytune.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/raytune.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/raytune.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/raytune.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/raytune.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/raytune.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/tensorboard.md b/docs/en/reference/utils/callbacks/tensorboard.md index cdb298bf..91477813 100644 --- a/docs/en/reference/utils/callbacks/tensorboard.md +++ b/docs/en/reference/utils/callbacks/tensorboard.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics YOLO Docs for a deep understanding of log_scalars, on_batch_end & other callback utilities embedded in the tensorboard module. -keywords: Ultralytics, YOLO, documentation, callback utilities, log_scalars, on_batch_end, tensorboard +description: Learn how to integrate and use TensorBoard with Ultralytics for effective model training visualization. +keywords: Ultralytics, TensorBoard, callbacks, machine learning, training visualization, logging --- # Reference for `ultralytics/utils/callbacks/tensorboard.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/tensorboard.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/tensorboard.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/tensorboard.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/tensorboard.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/tensorboard.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/tensorboard.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/callbacks/wb.md b/docs/en/reference/utils/callbacks/wb.md index 69883e14..e2afdf73 100644 --- a/docs/en/reference/utils/callbacks/wb.md +++ b/docs/en/reference/utils/callbacks/wb.md @@ -1,13 +1,13 @@ --- -description: Deep dive into Ultralytics callbacks. Learn how to use the _log_plots, on_fit_epoch_end, and on_train_end functions effectively. -keywords: Ultralytics, callbacks, _log_plots, on_fit_epoch_end, on_train_end +description: Learn how Ultralytics YOLO integrates with WandB using custom callbacks for logging metrics and visualizations. +keywords: Ultralytics, YOLO, WandB, callbacks, logging, metrics, visualizations, AI, machine learning --- # Reference for `ultralytics/utils/callbacks/wb.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/wb.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/wb.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/wb.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/wb.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/wb.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/wb.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/checks.md b/docs/en/reference/utils/checks.md index 1d9f27de..b837360b 100644 --- a/docs/en/reference/utils/checks.md +++ b/docs/en/reference/utils/checks.md @@ -1,13 +1,13 @@ --- -description: Learn about our routine checks that safeguard Ultralytics operations including ASCII, font, YOLO file, YAML, Python and torchvision checks. -keywords: Ultralytics, utility checks, ASCII, check_version, pip_update, check_python, check_torchvision, check_yaml, YOLO filename +description: Explore utility functions for Ultralytics YOLO such as checking versions, image sizes, and requirements. +keywords: Ultralytics, YOLO, utility functions, version checks, requirements, image size --- # Reference for `ultralytics/utils/checks.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/checks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/checks.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/checks.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/checks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/checks.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/checks.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/dist.md b/docs/en/reference/utils/dist.md index 8f3ed2f4..2d168ea6 100644 --- a/docs/en/reference/utils/dist.md +++ b/docs/en/reference/utils/dist.md @@ -1,13 +1,13 @@ --- -description: Discover the role of dist.find_free_network_port & dist.generate_ddp_command in Ultralytics DDP utilities. Use our guide for efficient deployment. -keywords: Ultralytics, DDP, DDP utility functions, Distributed Data Processing, find free network port, generate DDP command +description: Explore Ultralytics' utilities for distributed training including DDP file generation, command setup, and cleanup. Improve multi-node training efficiency. +keywords: Ultralytics, distributed training, DDP, multi-node training, network port, DDP file generation, DDP command, training utilities --- # Reference for `ultralytics/utils/dist.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/dist.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/dist.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/dist.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/dist.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/dist.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/dist.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/downloads.md b/docs/en/reference/utils/downloads.md index 3c60da01..663fffe4 100644 --- a/docs/en/reference/utils/downloads.md +++ b/docs/en/reference/utils/downloads.md @@ -1,13 +1,13 @@ --- -description: Learn about the download utilities in Ultralytics YOLO, featuring functions like is_url, check_disk_space, get_github_assets, and download. -keywords: Ultralytics, YOLO, download utilities, is_url, check_disk_space, get_github_assets, download, documentation +description: Explore and utilize the Ultralytics download utilities to handle URLs, zip/unzip files, and manage GitHub assets effectively. +keywords: Ultralytics, download utilities, URL validation, zip directory, unzip file, check disk space, Google Drive, GitHub assets, YOLO, machine learning --- # Reference for `ultralytics/utils/downloads.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/downloads.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/downloads.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/downloads.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/downloads.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/downloads.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/downloads.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/errors.md b/docs/en/reference/utils/errors.md index d856eb4f..abab81de 100644 --- a/docs/en/reference/utils/errors.md +++ b/docs/en/reference/utils/errors.md @@ -1,13 +1,13 @@ --- -description: Learn about the HUBModelError in Ultralytics. Enhance your understanding, troubleshoot errors and optimize your machine learning projects. -keywords: Ultralytics, HUBModelError, Machine Learning, Error troubleshooting, Ultralytics documentation +description: Explore error handling for Ultralytics YOLO. Learn about custom exceptions like HUBModelError to manage model fetching issues effectively. +keywords: Ultralytics, YOLO, error handling, HUBModelError, model fetching, custom exceptions, Python --- # Reference for `ultralytics/utils/errors.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/errors.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/errors.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/errors.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/errors.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/errors.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/errors.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/files.md b/docs/en/reference/utils/files.md index 2269a7db..612cb883 100644 --- a/docs/en/reference/utils/files.md +++ b/docs/en/reference/utils/files.md @@ -1,13 +1,13 @@ --- -description: Discover how to use Ultralytics utility functions for file-related operations including incrementing paths, finding file age, checking file size and creating directories. -keywords: Ultralytics, utility functions, file operations, working directory, file age, file size, create directories +description: Explore the utility functions and context managers in Ultralytics like WorkingDirectory, increment_path, file_size, and more. Enhance your file handling in Python. +keywords: Ultralytics, file utilities, Python, WorkingDirectory, increment_path, file_size, file_age, contexts, file handling, file management --- # Reference for `ultralytics/utils/files.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/files.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/files.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/files.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/files.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/files.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/files.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/instance.md b/docs/en/reference/utils/instance.md index 539ebdf3..4fa0b080 100644 --- a/docs/en/reference/utils/instance.md +++ b/docs/en/reference/utils/instance.md @@ -1,13 +1,13 @@ --- -description: Dive into Ultralytics detailed utility guide. Learn about Bboxes, _ntuple and more from Ultralytics utils.instance module. -keywords: Ultralytics, Bboxes, _ntuple, utility, ultralytics utils.instance +description: Explore Ultralytics utilities for bounding boxes and instances, providing detailed documentation on handling bbox formats, conversions, and more. +keywords: Ultralytics, bounding boxes, Instances, bbox formats, conversions, AI, deep learning, YOLO, xyxy, xywh, ltwh --- # Reference for `ultralytics/utils/instance.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/instance.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/instance.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/instance.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/instance.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/instance.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/instance.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/loss.md b/docs/en/reference/utils/loss.md index f376403a..f02a6954 100644 --- a/docs/en/reference/utils/loss.md +++ b/docs/en/reference/utils/loss.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics' versatile loss functions - VarifocalLoss, BboxLoss, v8DetectionLoss, v8PoseLoss. Improve your accuracy on YOLO implementations. -keywords: Ultralytics, Loss functions, VarifocalLoss, BboxLoss, v8DetectionLoss, v8PoseLoss, YOLO, Ultralytics Documentation +description: Explore detailed descriptions and implementations of various loss functions used in Ultralytics models, including Varifocal Loss, Focal Loss, Bbox Loss, and more. +keywords: Ultralytics, loss functions, Varifocal Loss, Focal Loss, Bbox Loss, Rotated Bbox Loss, Keypoint Loss, YOLO, model training, documentation --- # Reference for `ultralytics/utils/loss.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/loss.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/loss.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/loss.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/loss.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/loss.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/loss.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/metrics.md b/docs/en/reference/utils/metrics.md index 13f4d31e..65f68875 100644 --- a/docs/en/reference/utils/metrics.md +++ b/docs/en/reference/utils/metrics.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics YOLO metrics tools - from confusion matrix, detection metrics, pose metrics to box IoU. Learn how to compute and plot precision-recall curves. -keywords: Ultralytics, YOLO, YOLOv3, YOLOv4, metrics, confusion matrix, detection metrics, pose metrics, box IoU, mask IoU, plot precision-recall curves, compute average precision +description: Explore detailed metrics and utility functions for model validation and performance analysis with Ultralytics' metrics module. +keywords: Ultralytics, metrics, model validation, performance analysis, IoU, confusion matrix --- # Reference for `ultralytics/utils/metrics.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/metrics.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/metrics.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/ops.md b/docs/en/reference/utils/ops.md index 24766e82..5f5443bf 100644 --- a/docs/en/reference/utils/ops.md +++ b/docs/en/reference/utils/ops.md @@ -1,13 +1,13 @@ --- -description: Explore detailed documentation for Ultralytics utility operations. Learn about methods like segment2box, make_divisible, clip_boxes, and many more. -keywords: Ultralytics YOLO, Utility Operations, segment2box, make_divisible, clip_boxes, scale_image, xywh2xyxy, xyxy2xywhn, xywh2ltwh, ltwh2xywh, segments2boxes, crop_mask, process_mask, scale_masks, masks2segments +description: Explore detailed documentation on utility operations in Ultralytics including non-max suppression, bounding box transformations, and more. +keywords: Ultralytics, utility operations, non-max suppression, bounding box transformations, YOLOv8, machine learning --- # Reference for `ultralytics/utils/ops.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/ops.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/ops.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/ops.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/ops.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/ops.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/ops.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/patches.md b/docs/en/reference/utils/patches.md index ff950760..5d2858d3 100644 --- a/docs/en/reference/utils/patches.md +++ b/docs/en/reference/utils/patches.md @@ -1,13 +1,13 @@ --- -description: Learn about Ultralytics utils patches including imread, imshow and torch_save. Enhance your image processing skills. -keywords: Ultralytics, Utils, Patches, imread, imshow, torch_save, image processing +description: Explore and contribute to Ultralytics' utils/patches.py. Learn about the imread, imwrite, imshow, and torch_save functions. +keywords: Ultralytics, utils, patches, imread, imwrite, imshow, torch_save, OpenCV, PyTorch, GitHub --- # Reference for `ultralytics/utils/patches.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/patches.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/patches.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/patches.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/patches.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/patches.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/patches.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/plotting.md b/docs/en/reference/utils/plotting.md index 87517150..5a6ee716 100644 --- a/docs/en/reference/utils/plotting.md +++ b/docs/en/reference/utils/plotting.md @@ -1,13 +1,13 @@ --- -description: Master advanced plotting utils from Ultralytics including color annotations, label and image plotting, and feature visualization. -keywords: Ultralytics, plotting, utils, color annotation, label plotting, image plotting, feature visualization +description: Explore detailed functionalities of Ultralytics plotting utilities for data visualizations and custom annotations in ML projects. +keywords: ultralytics, plotting, utilities, documentation, data visualization, annotations, python, ML tools --- # Reference for `ultralytics/utils/plotting.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/plotting.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/plotting.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/plotting.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/plotting.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/plotting.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/plotting.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/tal.md b/docs/en/reference/utils/tal.md index 3beca7e5..8c23339b 100644 --- a/docs/en/reference/utils/tal.md +++ b/docs/en/reference/utils/tal.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics utilities for optimized task assignment, bounding box creation, and distance calculation. Learn more about algorithm implementations. -keywords: Ultralytics, task aligned assigner, select highest overlaps, make anchors, dist2bbox, bbox2dist, utilities, algorithm +description: Explore the TaskAlignedAssigner in Ultralytics YOLO. Learn about the TaskAlignedMetric and its applications in object detection. +keywords: Ultralytics, YOLO, TaskAlignedAssigner, object detection, machine learning, AI, Tal.py, PyTorch --- # Reference for `ultralytics/utils/tal.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tal.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tal.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/tal.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tal.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tal.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/tal.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/torch_utils.md b/docs/en/reference/utils/torch_utils.md index 6d8a9a9a..011a0eff 100644 --- a/docs/en/reference/utils/torch_utils.md +++ b/docs/en/reference/utils/torch_utils.md @@ -1,13 +1,13 @@ --- -description: Explore Ultralytics-tailored torch utility features like Model EMA, early stopping, smart inference, image scaling, get_flops, and many more. -keywords: Ultralytics, Torch Utils, Model EMA, Early Stopping, Smart Inference, Get CPU Info, Time Sync, Fuse Deconv and bn, Get num params, Get FLOPs, Scale img, Copy attr, Intersect dicts, De_parallel, Init seeds, Profile +description: Explore valuable torch utilities from Ultralytics for optimized model performance, including device selection, model fusion, and inference optimization. +keywords: Ultralytics, torch utils, model optimization, device selection, inference optimization, model fusion, CPU info, PyTorch tools --- # Reference for `ultralytics/utils/torch_utils.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/torch_utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/torch_utils.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/torch_utils.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/torch_utils.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/torch_utils.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/torch_utils.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/triton.md b/docs/en/reference/utils/triton.md index a6926f4d..abddb03b 100644 --- a/docs/en/reference/utils/triton.md +++ b/docs/en/reference/utils/triton.md @@ -1,13 +1,13 @@ --- -description: Deploy ML models effortlessly with Ultralytics TritonRemoteModel. Simplify serving with our comprehensive utils guide. -keywords: Ultralytics, YOLO, TritonRemoteModel, machine learning, model serving, deployment, utils, documentation +description: Learn how to use the TritonRemoteModel class for interacting with remote Triton Inference Server models. Detailed guide with code examples and attributes. +keywords: Ultralytics, TritonRemoteModel, Triton Inference Server, model client, inference, remote model, machine learning, AI, Python --- # Reference for `ultralytics/utils/triton.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/triton.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/triton.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/triton.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/triton.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/triton.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/triton.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/reference/utils/tuner.md b/docs/en/reference/utils/tuner.md index d321b287..52ac7afe 100644 --- a/docs/en/reference/utils/tuner.md +++ b/docs/en/reference/utils/tuner.md @@ -1,13 +1,13 @@ --- -description: Learn to utilize the run_ray_tune function with Ultralytics. Make your machine learning tuning process easier and more efficient. -keywords: Ultralytics, run_ray_tune, machine learning tuning, machine learning efficiency +description: Explore how to use ultralytics.utils.tuner.py for efficient hyperparameter tuning with Ray Tune. Learn implementation details and example usage. +keywords: Ultralytics, tuner, hyperparameter tuning, Ray Tune, YOLO, machine learning, AI, optimization --- # Reference for `ultralytics/utils/tuner.py` !!! Note - This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tuner.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tuner.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/tuner.py) 🛠️. Thank you 🙏! + This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tuner.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/tuner.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/tuner.py) 🛠️. Thank you 🙏!

diff --git a/docs/en/solutions/index.md b/docs/en/solutions/index.md index 00f043f2..b516e41d 100644 --- a/docs/en/solutions/index.md +++ b/docs/en/solutions/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover real-world applications and solutions using Ultralytics' YOLO models. Learn how to implement object counting, cropping, blurring, workout monitoring, security systems, and more with YOLOv8. -keywords: Ultralytics, YOLO, Object Detection, Real-World Projects, Object Counting, Object Cropping, Object Blurring, Workout Monitoring, Security Systems, Heatmaps, Instance Segmentation, Object Tracking, VisionEye, Speed Estimation, Distance Calculation, Queue Management, Parking Management, Analytics +description: Explore Ultralytics Solutions using YOLOv8 for object counting, blurring, security, and more. Enhance efficiency and solve real-world problems with cutting-edge AI. +keywords: Ultralytics, YOLOv8, object counting, object blurring, security systems, AI solutions, real-time analysis, computer vision applications --- # Ultralytics Solutions: Harness YOLOv8 to Solve Real-World Problems diff --git a/docs/en/tasks/classify.md b/docs/en/tasks/classify.md index 38809b27..c28dbfb3 100644 --- a/docs/en/tasks/classify.md +++ b/docs/en/tasks/classify.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn about YOLOv8 Classify models for image classification. Get detailed information on List of Pretrained Models & how to Train, Validate, Predict & Export models. -keywords: Ultralytics, YOLOv8, Image Classification, Pretrained Models, YOLOv8n-cls, Training, Validation, Prediction, Model Export +description: Master image classification using YOLOv8. Learn to train, validate, predict, and export models efficiently. +keywords: YOLOv8, image classification, AI, machine learning, pretrained models, ImageNet, model export, predict, train, validate --- # Image Classification diff --git a/docs/en/tasks/detect.md b/docs/en/tasks/detect.md index ae13a00d..7147fa2e 100644 --- a/docs/en/tasks/detect.md +++ b/docs/en/tasks/detect.md @@ -1,7 +1,7 @@ --- comments: true -description: Official documentation for YOLOv8 by Ultralytics. Learn how to train, validate, predict and export models in various formats. Including detailed performance stats. -keywords: YOLOv8, Ultralytics, object detection, pretrained models, training, validation, prediction, export models, COCO, ImageNet, PyTorch, ONNX, CoreML +description: Learn about object detection with YOLOv8. Explore pretrained models, training, validation, prediction, and export details for efficient object recognition. +keywords: object detection, YOLOv8, pretrained models, training, validation, prediction, export, machine learning, computer vision --- # Object Detection diff --git a/docs/en/tasks/index.md b/docs/en/tasks/index.md index 2cf46968..6ce1b4f5 100644 --- a/docs/en/tasks/index.md +++ b/docs/en/tasks/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn about the cornerstone computer vision tasks YOLOv8 can perform including detection, segmentation, classification, and pose estimation. Understand their uses in your AI projects. -keywords: Ultralytics, YOLOv8, Detection, Segmentation, Classification, Pose Estimation, Oriented Object Detection, AI Framework, Computer Vision Tasks +description: Explore Ultralytics YOLOv8 for detection, segmentation, classification, OBB, and pose estimation with high accuracy and speed. Learn how to apply each task. +keywords: Ultralytics YOLOv8, detection, segmentation, classification, oriented object detection, pose estimation, computer vision, AI framework --- # Ultralytics YOLOv8 Tasks diff --git a/docs/en/tasks/obb.md b/docs/en/tasks/obb.md index 0955f072..033722c6 100644 --- a/docs/en/tasks/obb.md +++ b/docs/en/tasks/obb.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use oriented object detection models with Ultralytics YOLO. Instructions on training, validation, image prediction, and model export. -keywords: yolov8, oriented object detection, Ultralytics, DOTA dataset, rotated object detection, object detection, model training, model validation, image prediction, model export +description: Discover how to detect objects with rotation for higher precision using YOLOv8 OBB models. Learn, train, validate, and export OBB models effortlessly. +keywords: Oriented Bounding Boxes, OBB, Object Detection, YOLOv8, Ultralytics, DOTAv1, Model Training, Model Export, AI, Machine Learning --- # Oriented Bounding Boxes Object Detection diff --git a/docs/en/tasks/pose.md b/docs/en/tasks/pose.md index c345dd99..7812a982 100644 --- a/docs/en/tasks/pose.md +++ b/docs/en/tasks/pose.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use Ultralytics YOLOv8 for pose estimation tasks. Find pretrained models, learn how to train, validate, predict, and export your own. -keywords: Ultralytics, YOLO, YOLOv8, pose estimation, keypoints detection, object detection, pre-trained models, machine learning, artificial intelligence +description: Discover how to use YOLOv8 for pose estimation tasks. Learn about model training, validation, prediction, and exporting in various formats. +keywords: pose estimation, YOLOv8, Ultralytics, keypoints, model training, image recognition, deep learning --- # Pose Estimation diff --git a/docs/en/tasks/segment.md b/docs/en/tasks/segment.md index 30c6d9a3..af8f021c 100644 --- a/docs/en/tasks/segment.md +++ b/docs/en/tasks/segment.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use instance segmentation models with Ultralytics YOLO. Instructions on training, validation, image prediction, and model export. -keywords: yolov8, instance segmentation, Ultralytics, COCO dataset, image segmentation, object detection, model training, model validation, image prediction, model export +description: Master instance segmentation using YOLOv8. Learn how to detect, segment and outline objects in images with detailed guides and examples. +keywords: instance segmentation, YOLOv8, object detection, image segmentation, machine learning, deep learning, computer vision, COCO dataset, Ultralytics --- # Instance Segmentation diff --git a/docs/en/usage/callbacks.md b/docs/en/usage/callbacks.md index 2324977b..b0ea8313 100644 --- a/docs/en/usage/callbacks.md +++ b/docs/en/usage/callbacks.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to utilize callbacks in the Ultralytics framework during train, val, export, and predict modes for enhanced functionality. -keywords: Ultralytics, YOLO, callbacks guide, training callback, validation callback, export callback, prediction callback +description: Explore Ultralytics callbacks for training, validation, exporting, and prediction. Learn how to use and customize them for your ML models. +keywords: Ultralytics, callbacks, training, validation, export, prediction, ML models, YOLOv8, Python, machine learning --- ## Callbacks diff --git a/docs/en/usage/cfg.md b/docs/en/usage/cfg.md index 98057758..aa050a7b 100644 --- a/docs/en/usage/cfg.md +++ b/docs/en/usage/cfg.md @@ -1,7 +1,7 @@ --- comments: true -description: Master YOLOv8 settings and hyperparameters for improved model performance. Learn to use YOLO CLI commands, adjust training settings, and optimize YOLO tasks & modes. -keywords: YOLOv8, settings, hyperparameters, YOLO CLI commands, YOLO tasks, YOLO modes, Ultralytics documentation, model optimization, YOLOv8 training +description: Optimize your YOLO model's performance with the right settings and hyperparameters. Learn about training, validation, and prediction configurations. +keywords: YOLO, hyperparameters, configuration, training, validation, prediction, model settings, Ultralytics, performance optimization, machine learning --- YOLO settings and hyperparameters play a critical role in the model's performance, speed, and accuracy. These settings and hyperparameters can affect the model's behavior at various stages of the model development process, including training, validation, and prediction. diff --git a/docs/en/usage/cli.md b/docs/en/usage/cli.md index 596c624a..3dc1dc2d 100644 --- a/docs/en/usage/cli.md +++ b/docs/en/usage/cli.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to use Ultralytics YOLO through Command Line, train models, run predictions and exports models to different formats easily using terminal commands. -keywords: Ultralytics, YOLO, CLI, train, validation, prediction, command line interface, YOLO CLI, YOLO terminal, model training, prediction, exporting +description: Explore the YOLOv8 command line interface (CLI) for easy execution of detection tasks without needing a Python environment. +keywords: YOLOv8 CLI, command line interface, YOLOv8 commands, detection tasks, Ultralytics, model training, model prediction --- # Command Line Interface Usage diff --git a/docs/en/usage/engine.md b/docs/en/usage/engine.md index 729f01b5..3a1d34b2 100644 --- a/docs/en/usage/engine.md +++ b/docs/en/usage/engine.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to customize and extend base Ultralytics YOLO Trainer engines. Support your custom model and dataloader by overriding built-in functions. -keywords: Ultralytics, YOLO, trainer engines, BaseTrainer, DetectionTrainer, customizing trainers, extending trainers, custom model, custom dataloader +description: Learn to customize the YOLOv8 Trainer for specific tasks. Step-by-step instructions with Python examples for maximum model performance. +keywords: Ultralytics, YOLOv8, Trainer Customization, Python, Machine Learning, AI, Model Training, DetectionTrainer, Custom Models --- Both the Ultralytics YOLO command-line and Python interfaces are simply a high-level abstraction on the base engine executors. Let's take a look at the Trainer engine. diff --git a/docs/en/usage/python.md b/docs/en/usage/python.md index 979b76cf..8c1d2f55 100644 --- a/docs/en/usage/python.md +++ b/docs/en/usage/python.md @@ -1,7 +1,7 @@ --- comments: true -description: Boost your Python projects with object detection, segmentation and classification using YOLOv8. Explore how to load, train, validate, predict, export, track and benchmark models with ease. -keywords: YOLOv8, Ultralytics, Python, object detection, segmentation, classification, model training, validation, prediction, model export, benchmark, real-time tracking +description: Learn to integrate YOLOv8 in Python for object detection, segmentation, and classification. Load, train models, and make predictions easily with our comprehensive guide. +keywords: YOLOv8, Python, object detection, segmentation, classification, machine learning, AI, pretrained models, train models, make predictions --- # Python Usage diff --git a/docs/en/usage/simple-utilities.md b/docs/en/usage/simple-utilities.md index 8314eff3..c85ce4b2 100644 --- a/docs/en/usage/simple-utilities.md +++ b/docs/en/usage/simple-utilities.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to extend the utility of the Ultralytics package to support your development process. -keywords: Ultralytics, YOLO, custom, function, workflow, utility, support, +description: Explore essential utilities in the Ultralytics package to speed up and enhance your workflows. Learn about data processing, annotations, conversions, and more. +keywords: Ultralytics, utilities, data processing, auto annotation, YOLO, dataset conversion, bounding boxes, image compression, machine learning tools --- # Simple Utilities diff --git a/docs/en/yolov5/environments/aws_quickstart_tutorial.md b/docs/en/yolov5/environments/aws_quickstart_tutorial.md index 82fcc4fc..7f31473b 100644 --- a/docs/en/yolov5/environments/aws_quickstart_tutorial.md +++ b/docs/en/yolov5/environments/aws_quickstart_tutorial.md @@ -1,7 +1,7 @@ --- comments: true -description: Follow this comprehensive guide to set up and operate YOLOv5 on an AWS Deep Learning instance for object detection tasks. Get started with model training and deployment. -keywords: YOLOv5, AWS Deep Learning AMIs, object detection, machine learning, AI, model training, instance setup, Ultralytics +description: Discover how to set up and run YOLOv5 on AWS Deep Learning Instances. Follow our comprehensive guide to get started quickly and cost-effectively. +keywords: YOLOv5, AWS, Deep Learning, Machine Learning, AWS EC2, YOLOv5 setup, Deep Learning Instances, AI, Object Detection --- # YOLOv5 🚀 on AWS Deep Learning Instance: Your Complete Guide diff --git a/docs/en/yolov5/environments/azureml_quickstart_tutorial.md b/docs/en/yolov5/environments/azureml_quickstart_tutorial.md index 9f87f593..a9461232 100644 --- a/docs/en/yolov5/environments/azureml_quickstart_tutorial.md +++ b/docs/en/yolov5/environments/azureml_quickstart_tutorial.md @@ -1,7 +1,7 @@ --- comments: true -description: Azure Machine Learning YOLOv5 quickstart -keywords: Ultralytics, YOLO, Deep Learning, Object detection, quickstart, Azure, AzureML +description: Learn how to set up and run YOLOv5 on AzureML. Follow this quickstart guide for easy configuration and model training on an AzureML compute instance. +keywords: YOLOv5, AzureML, machine learning, compute instance, quickstart, model training, virtual environment, Python, AI, deep learning --- # YOLOv5 🚀 on AzureML diff --git a/docs/en/yolov5/environments/docker_image_quickstart_tutorial.md b/docs/en/yolov5/environments/docker_image_quickstart_tutorial.md index cc686665..fbfc946b 100644 --- a/docs/en/yolov5/environments/docker_image_quickstart_tutorial.md +++ b/docs/en/yolov5/environments/docker_image_quickstart_tutorial.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to set up and run YOLOv5 in a Docker container. This tutorial includes the prerequisites and step-by-step instructions. -keywords: YOLOv5, Docker, Ultralytics, Image Detection, YOLOv5 Docker Image, Docker Container, Machine Learning, AI +description: Learn how to set up and run YOLOv5 in a Docker container with step-by-step instructions. Explore other quickstart options for an easy setup. +keywords: YOLOv5, Docker, Ultralytics, setup, guide, tutorial, machine learning, deep learning, AI, GPU, NVIDIA, container --- # Get Started with YOLOv5 🚀 in Docker diff --git a/docs/en/yolov5/environments/google_cloud_quickstart_tutorial.md b/docs/en/yolov5/environments/google_cloud_quickstart_tutorial.md index 1574dedd..bd516b8c 100644 --- a/docs/en/yolov5/environments/google_cloud_quickstart_tutorial.md +++ b/docs/en/yolov5/environments/google_cloud_quickstart_tutorial.md @@ -1,7 +1,7 @@ --- comments: true -description: Discover how to deploy YOLOv5 on a GCP Deep Learning VM for seamless object detection. Ideal for ML beginners and cloud learners. Get started with our easy-to-follow tutorial! -keywords: YOLOv5, Google Cloud Platform, GCP, Deep Learning VM, ML model training, object detection, AI tutorial, cloud-based AI, machine learning setup +description: Master YOLOv5 deployment on Google Cloud Platform Deep Learning VM. Perfect for AI beginners and experts to achieve high-performance object detection. +keywords: YOLOv5, Google Cloud Platform, GCP, Deep Learning VM, object detection, AI, machine learning, tutorial --- # Mastering YOLOv5 🚀 Deployment on Google Cloud Platform (GCP) Deep Learning Virtual Machine (VM) ⭐ diff --git a/docs/en/yolov5/index.md b/docs/en/yolov5/index.md index dba1b659..61c62842 100644 --- a/docs/en/yolov5/index.md +++ b/docs/en/yolov5/index.md @@ -1,7 +1,7 @@ --- comments: true -description: Deep dive into Ultralytics' YOLOv5. Learn about object detection model - YOLOv5, how to train it on custom data, multi-GPU training and more. -keywords: YOLOv5, object detection, computer vision, CUDA, PyTorch tutorial, multi-GPU training, custom dataset, model export, deployment, CI tests +description: Explore comprehensive YOLOv5 documentation with step-by-step tutorials on training, deployment, and model optimization. Empower your vision projects today!. +keywords: YOLOv5, Ultralytics, object detection, computer vision, deep learning, AI, tutorials, PyTorch, model optimization, machine learning, neural networks --- # Comprehensive Guide to Ultralytics YOLOv5 diff --git a/docs/en/yolov5/quickstart_tutorial.md b/docs/en/yolov5/quickstart_tutorial.md index 0e18e308..ab8b0c11 100644 --- a/docs/en/yolov5/quickstart_tutorial.md +++ b/docs/en/yolov5/quickstart_tutorial.md @@ -1,7 +1,7 @@ --- comments: true -description: Dive into YOLOv5 for object detection with our easy-to-follow guide on setup, model training, and image inference using PyTorch. Get started now! -keywords: YOLOv5 Tutorial, Object Detection Guide, PyTorch Model Training, Inference with YOLOv5, Ultralytics YOLOv5 Setup +description: Kickstart your real-time object detection journey with YOLOv5! This guide covers installation, inference, and training to help you master YOLOv5 quickly. +keywords: YOLOv5, Quickstart, real-time object detection, AI, ML, PyTorch, inference, training, Ultralytics, machine learning, deep learning --- # YOLOv5 Quickstart 🚀 diff --git a/docs/en/yolov5/tutorials/architecture_description.md b/docs/en/yolov5/tutorials/architecture_description.md index a38cfbf4..86c4baf6 100644 --- a/docs/en/yolov5/tutorials/architecture_description.md +++ b/docs/en/yolov5/tutorials/architecture_description.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore the architecture of YOLOv5, an object detection algorithm by Ultralytics. Understand the model structure, data augmentation methods, training strategies, and loss computation techniques. -keywords: Ultralytics, YOLOv5, Object Detection, Architecture, Model Structure, Data Augmentation, Training Strategies, Loss Computation +description: Dive deep into the powerful YOLOv5 architecture by Ultralytics, exploring its model structure, data augmentation techniques, training strategies, and loss computations. +keywords: YOLOv5 architecture, object detection, Ultralytics, YOLO, model structure, data augmentation, training strategies, loss computations, deep learning, machine learning --- # Ultralytics YOLOv5 Architecture diff --git a/docs/en/yolov5/tutorials/clearml_logging_integration.md b/docs/en/yolov5/tutorials/clearml_logging_integration.md index baed07dc..42f14a59 100644 --- a/docs/en/yolov5/tutorials/clearml_logging_integration.md +++ b/docs/en/yolov5/tutorials/clearml_logging_integration.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how ClearML can enhance your YOLOv5 pipeline – track your training runs, version your data, remotely monitor your models and optimize performance. -keywords: ClearML, YOLOv5, Ultralytics, AI toolbox, training data, remote training, hyperparameter optimization, YOLOv5 model +description: Learn how to use ClearML for tracking YOLOv5 experiments, data versioning, hyperparameter optimization, and remote execution with ease. +keywords: ClearML, YOLOv5, machine learning, experiment tracking, data versioning, hyperparameter optimization, remote execution, ML pipeline --- # ClearML Integration diff --git a/docs/en/yolov5/tutorials/comet_logging_integration.md b/docs/en/yolov5/tutorials/comet_logging_integration.md index ae884112..643f7010 100644 --- a/docs/en/yolov5/tutorials/comet_logging_integration.md +++ b/docs/en/yolov5/tutorials/comet_logging_integration.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to set up and use Comet to enhance your YOLOv5 model training, metrics tracking and visualization. Includes a step by step guide to integrate Comet with YOLOv5. -keywords: YOLOv5, Comet, Machine Learning, Ultralytics, Real time metrics tracking, Hyperparameters, Model checkpoints, Model predictions, YOLOv5 training, Comet Credentials +description: Learn to track, visualize and optimize YOLOv5 model metrics with Comet for seamless machine learning workflows. +keywords: YOLOv5, Comet, machine learning, model tracking, hyperparameters, visualization, deep learning, logging, metrics --- ![Comet](https://cdn.comet.ml/img/notebook_logo.png) diff --git a/docs/en/yolov5/tutorials/hyperparameter_evolution.md b/docs/en/yolov5/tutorials/hyperparameter_evolution.md index 0af7c921..049f104c 100644 --- a/docs/en/yolov5/tutorials/hyperparameter_evolution.md +++ b/docs/en/yolov5/tutorials/hyperparameter_evolution.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to optimize YOLOv5 with hyperparameter evolution using Genetic Algorithm. This guide provides steps to initialize, define, evolve and visualize hyperparameters for top performance. -keywords: Ultralytics, YOLOv5, Hyperparameter Optimization, Genetic Algorithm, Machine Learning, Deep Learning, AI, Object Detection, Image Classification, Python +description: Learn how to optimize YOLOv5 hyperparameters using genetic algorithms for improved training performance. Step-by-step instructions included. +keywords: YOLOv5, hyperparameter evolution, genetic algorithms, machine learning, optimization, Ultralytics --- 📚 This guide explains **hyperparameter evolution** for YOLOv5 🚀. Hyperparameter evolution is a method of [Hyperparameter Optimization](https://en.wikipedia.org/wiki/Hyperparameter_optimization) using a [Genetic Algorithm](https://en.wikipedia.org/wiki/Genetic_algorithm) (GA) for optimization. diff --git a/docs/en/yolov5/tutorials/model_ensembling.md b/docs/en/yolov5/tutorials/model_ensembling.md index 25fd2185..0ea00268 100644 --- a/docs/en/yolov5/tutorials/model_ensembling.md +++ b/docs/en/yolov5/tutorials/model_ensembling.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to ensemble YOLOv5 models for improved mAP and Recall! Clone the repo, install requirements, and start testing and inference. -keywords: YOLOv5, object detection, ensemble learning, mAP, Recall +description: Learn how to use YOLOv5 model ensembling during testing and inference to enhance mAP and Recall for more accurate predictions. +keywords: YOLOv5, model ensembling, testing, inference, mAP, Recall, Ultralytics, object detection, PyTorch --- 📚 This guide explains how to use YOLOv5 🚀 **model ensembling** during testing and inference for improved mAP and Recall. diff --git a/docs/en/yolov5/tutorials/model_export.md b/docs/en/yolov5/tutorials/model_export.md index ed29ce43..3db687b0 100644 --- a/docs/en/yolov5/tutorials/model_export.md +++ b/docs/en/yolov5/tutorials/model_export.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to export a trained YOLOv5 model from PyTorch to different formats including TorchScript, ONNX, OpenVINO, TensorRT, and CoreML, and how to use these models. -keywords: Ultralytics, YOLOv5, model export, PyTorch, TorchScript, ONNX, OpenVINO, TensorRT, CoreML, TensorFlow +description: Learn to export YOLOv5 models to various formats like TFLite, ONNX, CoreML and TensorRT. Increase model efficiency and deployment flexibility with our step-by-step guide. +keywords: YOLOv5 export, TFLite, ONNX, CoreML, TensorRT, model conversion, YOLOv5 tutorial, PyTorch export --- # TFLite, ONNX, CoreML, TensorRT Export diff --git a/docs/en/yolov5/tutorials/model_pruning_and_sparsity.md b/docs/en/yolov5/tutorials/model_pruning_and_sparsity.md index fddd1c6e..9d1bbe84 100644 --- a/docs/en/yolov5/tutorials/model_pruning_and_sparsity.md +++ b/docs/en/yolov5/tutorials/model_pruning_and_sparsity.md @@ -1,7 +1,7 @@ --- comments: true -description: Improve YOLOv5 model efficiency by pruning with Ultralytics. Understand the process, conduct tests and view the impact on accuracy and sparsity. Test-maintained API environments. -keywords: YOLOv5, YOLO, Ultralytics, model pruning, PyTorch, machine learning, deep learning, computer vision, object detection +description: Learn how to prune YOLOv5 models for improved performance. Follow this step-by-step guide to optimize your YOLOv5 models effectively. +keywords: YOLOv5 pruning, model pruning, YOLOv5 optimization, YOLOv5 guide, machine learning pruning --- 📚 This guide explains how to apply **pruning** to YOLOv5 🚀 models. diff --git a/docs/en/yolov5/tutorials/multi_gpu_training.md b/docs/en/yolov5/tutorials/multi_gpu_training.md index e213b926..38c07c2a 100644 --- a/docs/en/yolov5/tutorials/multi_gpu_training.md +++ b/docs/en/yolov5/tutorials/multi_gpu_training.md @@ -1,7 +1,7 @@ --- comments: true -description: Learn how to train datasets on single or multiple GPUs using YOLOv5. Includes setup, training modes and result profiling for efficient leveraging of multiple GPUs. -keywords: YOLOv5, multi-GPU Training, YOLOv5 training, deep learning, machine learning, object detection, Ultralytics +description: Learn how to train YOLOv5 on multiple GPUs for optimal performance. Guide covers single and multiple machine setups. +keywords: YOLOv5, multiple GPUs, machine learning, deep learning, PyTorch, data parallel, distributed data parallel --- 📚 This guide explains how to properly use **multiple** GPUs to train a dataset with YOLOv5 🚀 on single or multiple machine(s). diff --git a/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md b/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md index 46317380..02083a5b 100644 --- a/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md +++ b/docs/en/yolov5/tutorials/neural_magic_pruning_quantization.md @@ -1,7 +1,7 @@ --- comments: true -description: Explore how to achieve exceptional AI performance with DeepSparse's incredible inference speed. Discover how to deploy YOLOv5, and learn about model sparsification and fine-tuning with SparseML. -keywords: YOLOv5, DeepSparse, Ultralytics, Neural Magic, sparsification, inference runtime, deep learning, deployment, model fine-tuning, SparseML, AI performance, GPU-class performance +description: Learn how to deploy YOLOv5 using Neural Magic's DeepSparse for GPU-class performance on CPUs. Discover easy integration, flexible deployments, and more. +keywords: YOLOv5, DeepSparse, Neural Magic, YOLO deployment, Sparse inference, Deep learning, Model sparsity, CPU optimization, No hardware accelerators, AI deployment ---