Fashion-MNIST

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Overview

The Fashion-MNIST dataset contains 60,000 training images (and 10,000 test images) of fashion and clothing items, taken from 10 classes. Each image is a standardized 28×28 size in grayscale (784 total pixels). Fashion-MNIST was created by Zalando as a compatible replacement for the original MNIST dataset of handwritten digits. This version of the dataset has been converted to CSV to enable easier loading in common data science tools (see https://www.kaggle.com/zalando-research/fashionmnist/home).

Dataset Metadata

Format License Domain Number of Records Size
CSV
MIT Image Classification 60,000 (images)
37 MB

Citation

@online{xiao2017/online,
author="Xiao, Han
and Rasul, Kashif
and Vollgraf, Roland
title="Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms",
date=2017-08-28,
year=2017,
eprintclass=cs.LG,
eprinttype=arXiv,
eprint=cs.LG/1708.07747,
}