# Ultralytics YOLO π, AGPL-3.0 license | |
# Carparts-seg dataset by Ultralytics | |
# Documentation: https://docs.ultralytics.com/datasets/segment/carparts-seg/ | |
# Example usage: yolo train data=carparts-seg.yaml | |
# parent | |
# βββ ultralytics | |
# βββ datasets | |
# βββ carparts-seg β downloads here (132 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/carparts-seg # dataset root dir | |
train: train/images # train images (relative to 'path') 3516 images | |
val: valid/images # val images (relative to 'path') 276 images | |
test: test/images # test images (relative to 'path') 401 images | |
# Classes | |
names: | |
0: back_bumper | |
1: back_door | |
2: back_glass | |
3: back_left_door | |
4: back_left_light | |
5: back_light | |
6: back_right_door | |
7: back_right_light | |
8: front_bumper | |
9: front_door | |
10: front_glass | |
11: front_left_door | |
12: front_left_light | |
13: front_light | |
14: front_right_door | |
15: front_right_light | |
16: hood | |
17: left_mirror | |
18: object | |
19: right_mirror | |
20: tailgate | |
21: trunk | |
22: wheel | |
# Download script/URL (optional) | |
download: https://github.com/ultralytics/assets/releases/download/v0.0.0/carparts-seg.zip | |