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There is a set of Pixel Level transforms that is used in the work
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
The authors also share the code => we can absorb some transforms that they have into the library.
https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py