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- # Ultralytics YOLO 🚀, AGPL-3.0 license
- # COCO8-pose dataset (first 8 images from COCO train2017) by Ultralytics
- # Example usage: yolo train data=coco8-pose.yaml
- # parent
- # ├── ultralytics
- # └── datasets
- # └── coco8-pose ← downloads here (1 MB)
- # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
- path: ../datasets/coco8-pose # dataset root dir
- train: images/train # train images (relative to 'path') 4 images
- val: images/val # val images (relative to 'path') 4 images
- test: # test images (optional)
- # Keypoints
- kpt_shape: [17, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
- flip_idx: [0, 2, 1, 4, 3, 6, 5, 8, 7, 10, 9, 12, 11, 14, 13, 16, 15]
- # Classes
- names:
- 0: person
- # Download script/URL (optional)
- download: https://ultralytics.com/assets/coco8-pose.zip
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