# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC/
# Download command: bash yolov5/data/get_voc.sh
# Train command: python train.py --data voc.yaml
# Dataset should be placed next to yolov5 folder:
#   /parent_folder
#     /VOC
#     /yolov5

# train and val datasets (image directory or *.txt file with image paths)
train: ../VOC/images/train/
val: ../VOC/images/val/

# number of classes
nc: 20

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