| 123456789101112131415161718192021 |
- # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
- # COCO128-seg 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-seg ← 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/seg_sum3 # 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
- names:
- 0: crack
- 1: debonding
- 2: hole
- # 3: rarefaction
|
