Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Fashion-MNIST is intended to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.
The data set consists of 4 files contained within Fashion-MNIST.zip:
- train-images-idx3-ubyte.gz: training set with 60,000 images (26 MBytes)
- train-labels-idx1-ubyte.gz: training set with 60,000 labels (29 KBytes)
- t10k-images-idx3-ubyte.gz: test set with 10,000 images (4.3 MBytes )
- t10k-labels-idx1-ubyte.gz: test set with 10,000 labels (5.1 KBytes)
For more details on each file, see: https://github.com/zalandoresearch/fashion-mnist