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# 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']