26 lines
965 B
YAML
26 lines
965 B
YAML
|
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||
|
|
# COCO8-pose dataset (first 8 images from COCO train2017) by Ultralytics
|
||
|
|
# Documentation: https://docs.ultralytics.com/datasets/pose/coco8-pose/
|
||
|
|
# 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 # dataset root dir
|
||
|
|
train: images # train images (relative to 'path') 4 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://github.com/ultralytics/assets/releases/download/v0.0.0/coco8-pose.zip
|