yolov5/data/voc.yaml

# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC/
# Download command: bash ./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']