Update HUB SDK Docs (#13309)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher
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description: Learn all about Ultralytics FastSAM model. Dive into our comprehensive guide for seamless integration and efficient model training.
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keywords: Ultralytics, FastSAM model, Model documentation, Efficient model training
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description: Discover how to use the FastSAM model with Ultralytics. Learn about its interface and implementation details with practical examples.
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keywords: FastSAM, Ultralytics, model interface, YOLO, deep learning, machine learning, segmentation, predictor, validator, Python
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---
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# Reference for `ultralytics/models/fastsam/model.py`
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!!! Note
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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 🙏!
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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 🙏!
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---
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description: Get detailed insights about Ultralytics FastSAMPredictor. Learn to predict and optimize your AI models with our properly documented guidelines.
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keywords: Ultralytics, FastSAMPredictor, predictive modeling, AI optimization, machine learning, deep learning, Ultralytics documentation
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description: Explore the Fast SAM Predictor in the Ultralytics YOLO framework. Learn about its segmentation prediction tasks, configuration, and post-processing steps.
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keywords: Ultralytics, Fast SAM Predictor, YOLO, segmentation, prediction, AI model, non-max suppression, mask prediction, tutorial
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---
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# Reference for `ultralytics/models/fastsam/predict.py`
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!!! Note
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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 🙏!
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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 🙏!
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description: Learn to effectively utilize FastSAMPrompt model from Ultralytics. Detailed guide to help you get the most out of your machine learning models.
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keywords: Ultralytics, FastSAMPrompt, machine learning, model, guide, documentation
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description: Explore the FastSAM prompt module for image annotation and visualization in Ultralytics, detailed with class methods and attributes.
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keywords: Ultralytics, FastSAM, image annotation, image visualization, FastSAMPrompt, YOLO, python script
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---
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# Reference for `ultralytics/models/fastsam/prompt.py`
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!!! Note
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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 🙏!
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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 🙏!
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description: Learn how to adjust bounding boxes to image borders in Ultralytics models using the bbox_iou utility. Enhance your object detection performance.
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keywords: Ultralytics, bounding boxes, Bboxes, image borders, object detection, bbox_iou, model utilities
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description: Explore the utility functions in FastSAM for adjusting bounding boxes and calculating IoU, benefiting computer vision projects.
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keywords: FastSAM, bounding boxes, IoU, Ultralytics, image processing, computer vision
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---
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# Reference for `ultralytics/models/fastsam/utils.py`
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!!! Note
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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 🙏!
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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 🙏!
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<br><br>
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---
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description: Learn about FastSAMValidator in Ultralytics models. Comprehensive guide to enhancing AI capabilities with Ultralytics.
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keywords: Ultralytics, FastSAMValidator, model, synthetic, AI, machine learning, validation
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description: Discover FastSAM Validator for segmentation in Ultralytics YOLO. Learn how to validate with custom metrics and avoid common errors. Contribute on GitHub!.
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keywords: FastSAM Validator, Ultralytics, YOLO, segmentation, validation, metrics, GitHub, contribute, documentation
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---
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# Reference for `ultralytics/models/fastsam/val.py`
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!!! Note
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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 🙏!
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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 🙏!
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---
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description: Learn how our NAS model operates in Ultralytics. Comprehensive guide with detailed examples. Master the nuances of Ultralytics NAS model.
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keywords: Ultralytics, NAS model, NAS guide, machine learning, model documentation
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description: Explore the YOLO-NAS model interface and learn how to utilize pre-trained YOLO-NAS models for object detection with Ultralytics.
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keywords: Ultralytics, YOLO, YOLO-NAS, object detection, pre-trained models, machine learning, deep learning, NAS model
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---
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# Reference for `ultralytics/models/nas/model.py`
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!!! Note
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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 🙏!
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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 🙏!
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<br><br>
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---
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description: Explore Ultralytics NASPredictor. Understand high-level architecture of the model for effective implementation and efficient predictions.
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keywords: NASPredictor, Ultralytics, Ultralytics model, model architecture, efficient predictions
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description: Learn about NASPredictor in Ultralytics YOLO for efficient object detection. Explore its attributes, methods, and usage with examples.
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keywords: Ultralytics, YOLO, NASPredictor, object detection, machine learning, AI, non-maximum suppression, bounding boxes, image processing
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---
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# Reference for `ultralytics/models/nas/predict.py`
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!!! Note
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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 🙏!
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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 🙏!
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<br><br>
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description: Explore the utilities and functions of the Ultralytics NASValidator. Find out how it benefits allocation and optimization in AI models.
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keywords: Ultralytics, NASValidator, models.nas.val.NASValidator, AI models, allocation, optimization
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description: Explore the Ultralytics NASValidator for efficient YOLO model validation. Learn about NMS and post-processing configurations.
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keywords: Ultralytics, YOLO, NASValidator, object detection, non-maximum suppression, NMS, YOLO models, machine learning
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---
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# Reference for `ultralytics/models/nas/val.py`
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!!! Note
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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 🙏!
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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 🙏!
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description: Explore the specifics of using the RTDETR model in Ultralytics. Detailed documentation layered with explanations and examples.
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keywords: Ultralytics, RTDETR model, Ultralytics models, object detection, Ultralytics documentation
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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.
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keywords: RT-DETR, real-time object detection, Vision Transformer, Ultralytics, model interface, Baidu, hybrid encoding, IoU-aware query selection, machine learning, AI
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---
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# Reference for `ultralytics/models/rtdetr/model.py`
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!!! Note
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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 🙏!
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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 🙏!
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description: Learn how to use the RTDETRPredictor model of the Ultralytics package. Detailed documentation, usage instructions, and advice.
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keywords: Ultralytics, RTDETRPredictor, model documentation, guide, real-time object detection
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description: Access the complete reference for the RTDETRPredictor class in Ultralytics. Learn about its attributes, methods, and example usage for real-time object detection.
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keywords: RTDETRPredictor, Ultralytics, Real-Time Detection Transformer, object detection, Vision Transformers, documentation, RT-DETR, Python class
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---
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# Reference for `ultralytics/models/rtdetr/predict.py`
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!!! Note
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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 🙏!
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||||
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 🙏!
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description: Get insights into RTDETRTrainer, a crucial component of Ultralytics for effective model training. Explore detailed documentation at Ultralytics.
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keywords: Ultralytics, RTDETRTrainer, model training, Ultralytics models, PyTorch models, neural networks, machine learning, deep learning
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description: Explore RTDETRTrainer for efficient real-time object detection leveraging Vision Transformers. Learn configuration, dataset handling, and advanced model training.
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keywords: RTDETRTrainer, real-time object detection, Vision Transformers, YOLO, RT-DETR model, model training, dataset handling
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---
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# Reference for `ultralytics/models/rtdetr/train.py`
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!!! Note
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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 🙏!
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<br><br>
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---
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description: Explore RTDETRDataset in Ultralytics Models. Learn about the RTDETRValidator function, understand its usage in real-time object detection.
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keywords: Ultralytics, RTDETRDataset, RTDETRValidator, real-time object detection, models documentation
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description: Explore the RTDETRValidator and RTDETRDataset classes for real-time detection and tracking. Understand initialization, transformations, and post-processing.
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keywords: RTDETR, Ultralytics, object detection, tracking, YOLO, RTDETRDataset, RTDETRValidator, real-time detection
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---
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# Reference for `ultralytics/models/rtdetr/val.py`
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!!! Note
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||||
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||||
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 🙏!
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---
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description: Explore Ultralytics methods for mask data processing, transformation and encoding. Deepen your understanding of RLE encoding, image cropping and more.
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keywords: Ultralytics, Mask Data, Transformation, Encoding, RLE encoding, Image cropping, Pytorch, SAM, AMG, Ultralytics model
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||||
description: Explore the detailed API reference for Ultralytics SAM/AMG models, including functions for mask stability scores, crop box generation, and more.
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keywords: Ultralytics, SAM, AMG, API Reference, models, mask stability, crop boxes, data processing, YOLO
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---
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# Reference for `ultralytics/models/sam/amg.py`
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!!! Note
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||||
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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 🙏!
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---
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description: Master building SAM ViT models with Ultralytics. Discover steps to leverage the power of SAM and Vision Transformer sessions.
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keywords: Ultralytics, SAM, build sam, vision transformer, vits, build_sam_vit_l, build_sam_vit_b, build_sam
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||||
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
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---
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|
||||
# 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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
|
|
@ -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 🙏!
|
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|
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<br><br>
|
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|
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|
|
|
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|
|
@ -1,13 +1,13 @@
|
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---
|
||||
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 🙏!
|
||||
|
||||
<br><br>
|
||||
|
||||
|
|
|
|||
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