deep-residual-networks
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Training RESNET on PASCAL VOC dataset
I need a resnet50 model trained on PASCAL VOC dataset. So is it better if I crop the training images based on annotations or simply feed the whole images for training on RESNET?
have u trained resnet50 model trained on PASCAL VOC dataset?Which of the above two way to prepare training image do u choose?
You can check this link out https://github.com/DrSleep/tensorflow-deeplab-resnet/blob/master/train.py