ultralytics 8.0.106 (#2736)
Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: vyskocj <whiskey1939@seznam.cz> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: triple Mu <gpu@163.com> Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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@ -75,11 +75,7 @@ arguments see the [Configuration](../usage/cfg.md) page.
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### Dataset format
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YOLO segmentation dataset label format extends detection format with segment points.
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`cls x1 y1 x2 y2 p1 p2 ... pn`
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To convert your existing dataset from other formats( like COCO, VOC etc.) to YOLO format, please use [json2yolo tool](https://github.com/ultralytics/JSON2YOLO) by Ultralytics.
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YOLO segmentation dataset format can be found in detail in the [Dataset Guide](../datasets/segment/index.md). To convert your existing dataset from other formats( like COCO etc.) to YOLO format, please use [json2yolo tool](https://github.com/ultralytics/JSON2YOLO) by Ultralytics.
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## Val
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@ -185,4 +181,4 @@ i.e. `yolo predict model=yolov8n-seg.onnx`. Usage examples are shown for your mo
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| [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n-seg_web_model/` | ✅ | `imgsz` |
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| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n-seg_paddle_model/` | ✅ | `imgsz` |
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See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
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See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
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