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Create voc.yaml

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  1. data/voc.yaml +10 -0
data/voc.yaml ADDED
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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','motorbike','person','pottedplant','sheep','sofa','train','tvmonitor']