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 2024-06-02 21:39:34 +02:00 committed by GitHub
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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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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 🙏!
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