18 lines
695 B
YAML
18 lines
695 B
YAML
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
|
|
# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
|
|
# 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: /scratch/labourde/yolo25000 # dataset root dir
|
|
train: ./images/ # train images (relative to 'path')
|
|
val: ./images/ # val images (relative to 'path')
|
|
test: # test images (optional)
|
|
|
|
# Classes
|
|
nc: 4 # number of classes
|
|
names: ['Car', 'Cat', 'Dog', 'Flower'] # class names
|