Hello
At every epoch, new transforms will be applied to your data.
Here is a full explanation about what is going on.

  
    
    
    Data augmentation in PyTorch 
  
  
    Hello, 
in any epoch the dataloader will apply a fresh set of random operations “on the fly”. So instead of showing the exact same items at every epoch, you are showing a variant that has been changed in a different way. So after three epochs, you would have seen three random variants of each item in a dataset. 
That said: I don’t think your counting method works for estimating the number of samples in the augmented set: The flip will double the number of pictures, but the crop has many potentia…
  


Good luck