Fashion MNIST is a dataset of Zalando's article images, composed of a training set of 60,000 examples and a test set of 10,000 examples. As with MNIST, each example is a 28x28 grayscale image, associated with a label from 10 classes. It was intended by authors from Zalando Research (https://github.com/zalandoresearch/fashion-mnist/graphs/contributors) as a replacement for the original MNIST dataset in order to better benchmark machine learning algorithms since it is more challenging to learn and much more representative of deep learning in real-world tasks (https://twitter.com/fchollet/status/852594987527045120).
https://github.com/zalandoresearch/fashion-mnist
Figure 9: A sample of the original Zalando dataset
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