pascalvoc0712_clipart1k_VOC.yaml

# 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
#     /datasets/VOC
#     /yolov5


# 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: /datasdc/zhouhuayi/dataset/domain_adaptation/
# real train and val images (relative to 'path') of pascalvoc0712, including 5011(2501+2510)+11540(5717+5823)=16551 images
train_source_real: 
  - pascalvoc/VOC2007/yolov5_format/images/train
  - pascalvoc/VOC2007/yolov5_format/images/val
  - pascalvoc/VOC2012/yolov5_format/images/train
  - pascalvoc/VOC2012/yolov5_format/images/val
# fake train and val images (relative to 'path') of pascalvoc0712, with target-like images using cycleGAN
train_source_fake: 
  - dt_clipart/VOC2007/yolov5_format/images/train
  - dt_clipart/VOC2007/yolov5_format/images/val
  - dt_clipart/VOC2012/yolov5_format/images/train
  - dt_clipart/VOC2012/yolov5_format/images/val
# real train images (relative to 'path') of clipart1k, including 500 images
train_target_real: 
  - clipart/yolov5_format/images/train
# fake train images (relative to 'path') of clipart1k, with source-like images using cycleGAN
train_target_fake: 
  - clipart2voc/yolov5_format/images/train

# real val images (relative to 'path') of clipart1k, including 500 images, never appear when training 
test_target_real: 
  - clipart/yolov5_format/images/val

# Classes
nc: 20  # number of classes
names: [ 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
         'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor' ]  # class names