I have almost 5223 and 577 images for training and validation sets, respectively. I am applying CNNs for image segmentation and would like to do artificial on-the-fly data augmentation.
I have installed Caffe latest version. I am wondering whether this version of Caffe is supporting data augmentation or not?
If yes, could you please share some resources for me?
The other question is whenever we are doing artificial data augmentation, should we change the epoch according to the augmentation size? for example, if I only apply mirroring, should I change the size of epoch by mutiplying 2?
What kind of on-the-fly artificial data augmentation can be applied for semantic segmentation?
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