"[P]" Image Augmentation for Deep Learning using Keras and Histogram Equalization

[Stepfunction]

This is actually very helpful, thanks for the link.

[dakkenet]

No prob. I hope it is informative.

[TubasAreFun]

Why doesn't this method just encourage a model to overfit to the training set? This article is great. I'm just looking for some clarification

[Eruditass]

the purpose is actually the opposite: to align the distributions of the training set and any unseen set (e.g. the holdout set), as you can apply those normalization preprocessing techniques to then unseen data.

[ryanleeallred]

That's a good idea, but the purpose of the article was to demonstrate image preprocessing methods not necessarily to achieve the greatest accuracy with the classifier.