51 lines
1.3 KiB
YAML
51 lines
1.3 KiB
YAML
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Hand Keypoints dataset by Ultralytics
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# Documentation: https://docs.ultralytics.com/datasets/pose/hand-keypoints/
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# Example usage: yolo train data=hand-keypoints.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── hand-keypoints ← downloads here (369 MB)
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# 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, ..]
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path: hand-keypoints # dataset root dir
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train: images/train # train images (relative to 'path') 18776 images
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val: images/val # val images (relative to 'path') 7992 images
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# Keypoints
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kpt_shape: [21, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
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flip_idx: [0, 1, 2, 4, 3, 10, 11, 12, 13, 14, 5, 6, 7, 8, 9, 15, 16, 17, 18, 19, 20]
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# Classes
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names:
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0: hand
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# Keypoint names per class
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kpt_names:
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0:
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- wrist
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- thumb_cmc
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- thumb_mcp
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- thumb_ip
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- thumb_tip
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- index_mcp
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- index_pip
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- index_dip
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- index_tip
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- middle_mcp
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- middle_pip
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- middle_dip
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- middle_tip
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- ring_mcp
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- ring_pip
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- ring_dip
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- ring_tip
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- pinky_mcp
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- pinky_pip
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- pinky_dip
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- pinky_tip
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# Download script/URL (optional)
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download: https://github.com/ultralytics/assets/releases/download/v0.0.0/hand-keypoints.zip
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