| # 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 (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/name # dataset root dir | |
| train: images/train # train images (relative to 'path') 128 images | |
| val: images/train # val images (relative to 'path') 128 images | |
| test: # test images (optional) | |
| # Classes | |
| names: | |
| 0: pikachu | |
| 1: charmander | |
| 2: bulbasaur | |
| 3: squirtle | |
| 4: eevee | |
| 5: other | |
| 6: jigglypuff | |
| # Download script/URL (optional) | |
| download: https://ultralytics.com/assets/coco128.zip |