# Ultralytics YOLO 🚀, AGPL-3.0 license
# COCO8 dataset (first 8 images from COCO train2017) by Ultralytics
# Documentation: https://docs.ultralytics.com/datasets/detect/coco8/
# Example usage: yolo train data=coco8.yaml
# parent
# ├── MRS-YOLO
# └── datasets
#     └── trash_detection_split  ← 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/trash_detection_optimal_split # dataset root dir
train: images/train # train images (relative to 'path') 
val: images/val # val images (relative to 'path') 
test: images/test # test images (optional)
# Classes

names: # ['Not Recyclable', 'Food waste', 'Glass', 'Textile', 'Metal', 'Wooden', 'Leather', 'Plastic', 'Ceramic', 'Paper']
  0: Not Recyclable
  1: Food waste
  2: Glass
  3: Textile
  4: Metal
  5: Wooden
  6: Leather
  7: Plastic
  8: Ceramic
  9: Paper

# Download script/URL (optional)
# download: https://huggingface.co/datasets/bryanbocao/coco_minitrain/resolve/main/coco_minitrain_10k.zip