ultralytics 8.0.99 HUB resume fix and Docs updates (#2567)
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
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@ -13,6 +13,7 @@ In this documentation, we provide information on four major models:
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2. [YOLOv5](./yolov5.md): An improved version of the YOLO architecture, offering better performance and speed tradeoffs compared to previous versions.
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3. [YOLOv8](./yolov8.md): The latest version of the YOLO family, featuring enhanced capabilities such as instance segmentation, pose/keypoints estimation, and classification.
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4. [Segment Anything Model (SAM)](./sam.md): Meta's Segment Anything Model (SAM).
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5. [Realtime Detection Transformers (RT-DETR)](./rtdetr.md): Baidu's RT-DETR model.
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You can use these models directly in the Command Line Interface (CLI) or in a Python environment. Below are examples of how to use the models with CLI and Python:
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