Zalando introduced this dataset in a 2017 paper to offer an alternative to the overused MNIST dataset.įashion- MNIST conveniently has the same dimensions as regular Instead of handwritten digits, given the fact that the dataset comes from Zalando, you may already have guessed that the images depicts images of clothes and shoes. The 70,000 images in the new dataset have the same dimensions and are also divided into ten classes. This dataset is a direct replacement for the regular MNIST dataset but offers a bigger challenge than it’s predeccessor for which error rates below one percent are now common. In this post, we will use Zalandos Fashion-MNIST dataset. Each image shows a handwritten digit between 0 and 9. It consists of a collection of 70,000 grayscale images with a fixed size of 28×28 pixels. One of the classic examples in image recognition is the MNIST dataset. This might sound contraditory, but in this post I will show you a simple way to augment your small image datasets with the help of Keras. The easiest way to train your machine learning algorithm on a small dataset, is to make the dataset bigger.
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