# COCO 2017 dataset http://cocodataset.org - first 128 training images
# Train command: python train.py --data coco128.yaml
# Default dataset location is next to /yolov5:
#   /parent_folder
#     /coco128
#     /yolov5


# download command/URL (optional)
#download: https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip

# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: /home/lc/project/data_zhanting/zhanting_add/images/train
val: /home/lc/project/data_zhanting/zhanting_add/images/val

# number of classes
nc: 13

# class names
names: ['b6925303773908', 'b6924743915848', 'b6920152471616', 'b6920005772716', 'b6902227018162', 'b6920459905012', 'b6972194461407', 'b6935284412918', 'b6921489033706', 'b6904012526494', 'b6923644272159', 'b6924882486100', 'b6956511907458']