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).
Dataset Metadata
| Field | Value |
|---|---|
| Format | CSV |
| License | MIT |
| Domain | Image Classification |
| Number of Records | 60,000 (images) |
| Size | 37 MB |
| Author | Kashif Rasul, Han Xiao |
| Dataset Origin | Zalando Research |
| Dataset Version | Version 1 – 9/12/2019 |
| Dataset Coverage | A dataset of standardized images of fashion items from 10 classes: T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot |
| Business Use Case | Retail – Classify images of clothing available for sale in a store. |
Dataset Archive Contents
| File or Folder | Description |
|---|---|
fashion-mnist_train.csv |
Training split |
fashion-mnist_test.csv |
Test split |
LICENSE.txt |
Terms of Use |
Data Glossary and Preview
Click here to explore the data glossary, sample records, and additional dataset metadata.
Use the Dataset
This dataset is complemented by data exploration, data analysis, and modeling Python notebooks to help you get started:
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,
}
Related Links
- Fashion-MNIST GitHub Repository Repository containing the Fashion-MNIST dataset, benchmarks, data visualizations and various other resources.
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