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# YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
# Example usage: python train.py --data coco128.yaml
# parent
# β”œβ”€β”€ yolov5
# └── datasets
# └── coco128 ← downloads here
# 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/coco128 # dataset root dir
train: ../images/train # train images (relative to 'path') 128 images
val: ../images/val # val images (relative to 'path') 128 images
test: # test images (optional)
# Classes
nc: 3 # number of classes
names: ['BJP','Congress','AAP'] # class names
# Download script/URL (optional)
download: https://ultralytics.com/assets/coco128.zip