| # YOLOv5 🚀 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 | |
| # ├── 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 | |