# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC/
# Train command: python train.py --data voc.yaml
# Default dataset location is next to /yolov5:
#   /parent_folder
#     /VOC
#     /yolov5


# download command/URL (optional)
download: bash data/scripts/get_voc.sh

# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: /mnt/Gpan/Mydata/pytorch
Porject/datasets/ccpd/train_car_plate/train_detect  
val: /mnt/Gpan/Mydata/pytorchPorject/datasets/ccpd/train_car_plate/val_detect
# number of classes
nc: 3

# class names
names: [ 'single_plate','double_plate','car']