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# Ultralytics YOLO πŸš€, AGPL-3.0 license
# COCO8-pose dataset (first 8 images from COCO train2017) by Ultralytics
# Example usage: yolo train data=yolo-hanfeng.yaml
# parent
# β”œβ”€β”€ 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: ./hanjjie # dataset root dir
train: images/train # train images (relative to 'path') 4 images
val: images/val # val images (relative to 'path') 4 images
test: 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: rf
1: sf
2: crack
3: ip
4: lof
# Download script/URL (optional)
#download: https://ultralytics.com/assets/coco8-pose.zip