ultralytics 8.0.108 add Meituan YOLOv6 models (#2811)
Co-authored-by: Michael Currie <mcurrie@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Hicham Talaoubrid <98521878+HichTala@users.noreply.github.com> Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com> Co-authored-by: Szymon Mikler <sjmikler@gmail.com>
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@ -11,6 +11,7 @@ In this documentation, we provide information on four major models:
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1. [YOLOv3](./yolov3.md): The third iteration of the YOLO model family, known for its efficient real-time object detection capabilities.
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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. [YOLOv6](./yolov6.md): Released by [Meituan](https://about.meituan.com/) in 2022 and is in use in many of the company's autonomous delivery robots.
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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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