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https://www.kaggle.com/c/cdiscount-image-classification-challenge

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http://www.inference.vc/mixup-data-dependent-data-augmentation/

https://github.com/titu1994/Keras-DualPathNetworks

- id - number of photos per item - pHash? - classic CV features (e.g. % of white pixels)

We can replace rare classes with zero class and forget about it for a while.

It would be useful to build something like confusion matrix for validation fold and investigate problematic classes.