pytorch-CycleGAN-and-pix2pix
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Training with less number of images
Hi,
Are there any guidelines for training with a small dataset? I have a use case where trainA has around 850 images and trainB has only around 50 images.
Will this be considered a good training scenario, considering trainB has very less images? How can we cater to such a use case? Will 100 epochs be good enough?