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# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC/
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# Download command: bash yolov5/data/get_voc.sh
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# Train command: python train.py --data voc.yaml
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# Dataset should be placed next to yolov5 folder:
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# /parent_folder
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# /VOC
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# /yolov5
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# train and val datasets (image directory or *.txt file with image paths)
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train: ../VOC/images/train/
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val: ../VOC/images/val/
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# number of classes
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nc: 20
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# class names
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names: ['aeroplane', 'bicycle','bird','boat','bottle','bus','car','cat','chair','cow','diningtable','dog','horse',
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'motorbike','person','pottedplant','sheep','sofa','train','tvmonitor']
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