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# Ultralytics YOLO 🚀, AGPL-3.0 license
# Tiger Pose dataset by Ultralytics
# Documentation: https://docs.ultralytics.com/datasets/pose/tiger-pose/
# Example usage: yolo train data=tiger-pose.yaml
# parent
# ├── ultralytics
# └── datasets
# └── tiger-pose ← downloads here (75.3 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/tiger-pose # dataset root dir
train: train # train images (relative to 'path') 210 images
val: val # val images (relative to 'path') 53 images
# Keypoints
kpt_shape: [12, 2] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
flip_idx: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
# Classes
names:
0: tiger
# Download script/URL (optional)
download: https://github.com/ultralytics/assets/releases/download/v0.0.0/tiger-pose.zip
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