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# Ultralytics YOLO π, GPL-3.0 license | |
# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics | |
# Example usage: yolo train data=coco128.yaml | |
# parent | |
# βββ ultralytics | |
# βββ datasets | |
# βββ coco128 β downloads here (7 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/custom_data # dataset root dir | |
train: images # train images (relative to 'path') 128 images | |
val: images # val images (relative to 'path') 128 images | |
test: # test images (optional) | |
# Classes | |
names: | |
0: apple iphone | |
1: apple ipad | |
2: apple macbook | |
3: lenovo laptop | |
4: dell laptop | |
5: Swissgear laptop bag | |
6: hp laptop bag | |
# Download script/URL (optional) | |
#download: https://ultralytics.com/assets/coco128.zip | |