day/ultralytics/cfg/datasets/yolov13.yaml

# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license

# COCO 2017 dataset https://cocodataset.org by Microsoft
# Documentation: https://docs.ultralytics.com/datasets/detect/coco/
# Example usage: yolo train data=coco.yaml
# parent
# ├── ultralytics
# └── datasets
#     └── coco  ← downloads here (20.1 GB)

# 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: D:\ultralytics-main\ultralytics-main\datasets_merged  # 数据集根目录

train: images/train  # 训练集图片文件夹（相对于path）
val: images/val      # 验证集图片文件夹（相对于path）
test: images/test    # 测试集图片文件夹（相对于path）

# Classes
names:
  0: fire
  1: dust
  2: move_machine
  3: open_machine
  4: close_machine