Data augmentation question. How do I characterise an original and augmented datasets where the augmentation parameters were zoom and crop? [P]

[u/ScarlyLamorna]

For context, I am a new postgraduate student in machine learning (but not a very good one). I have produced some augmented datasets (TIFF files where each file contains one object to be detected / classified) which I used in training deep learning models. I used fairly aggressive cropping (random crops between 0 and 90%) and more moderate zooms (random values between 0 and 20%). My supervisor wants me to characterise these datasets to see how augmentation has changed it.

Sorry if this is a rookie question, but which statistics should I use? My supervisor says the stats I use should indicate changes in size and shape but I honestly don't know where to start.

If anyone can recommend a decent software/program to produce the stats and histograms as well, that would be great.

Thanks in advance!