We have seen yesterday about the MNIST handwritten digits dataset and a simple code to fetch a digit.

In this blog, we are going to see “What is Fashion-MNIST?”.

Fashion-MNIST is the largest article images database which consists of a training set of 60,000 small images and a test set of 10,000 small images. Each example size 28×28 greyscale on 10 different categories.

This dataset created for the Machine Learning community.

Both Training and Test set contains 10 different categories as follows T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, and Ankle Boot.

We can download data for the GitHub repository or through Scikit-Learn, Pytorch, and Tensorflow libraries provide helper functions to download the Fashion-MNIST dataset.

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