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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
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