Fashion-MNIST Dataset (FashionMNIST_dataset)

Overview

This DeepTrackAI repository provides a copy of the Fashion-MNIST dataset available at the fashion-mnist GitHub Repository. The dataset was created by Zalando Research as a drop-in replacement for the original MNIST dataset and is described in Xiao et al, arXiv, 2017.

Fashion-MNIST contains grayscale images of fashion products from 10 categories, intended for benchmarking machine learning and computer vision algorithms.

Summary

• Number of images: 70,000 (60,000 training + 10,000 test)
• Image size: 28 × 28 pixels
• Image format: 8-bit grayscale PNG
• Labels: 10 fashion product classes

Label	Description
0	T-shirt/top
1	Trouser
2	Pullover
3	Dress
4	Coat
5	Sandal
6	Shirt
7	Sneaker
8	Bag
9	Ankle boot

---

Original Source

• Title: Fashion-MNIST
• Authors: Han Xiao, Kashif Rasul, Roland Vollgraf (Zalando Research)
• Source: Fashion-MNIST GitHub Repository
• Reference article: Xiao, H., Rasul, K., & Vollgraf, R. arXiv:1708.07747 (2017). https://arxiv.org/abs/1708.07747
• License: MIT

If you use this dataset in your research, please follow the licensing requirements and properly attribute the original authors.

---

Dataset Structure

/FashionMNIST_dataset   
  ├── train/          # Training images (labeled by filename)
  │   ├── 0_000000.png
  │   ├── 0_000001.png
  │   └── ...
  └── test/           # Test images (labeled by filename)
      ├── 0_000000.png
      ├── 0_000001.png
      └── ...

Each filename begins with its class label (0–9), followed by a sequential numerical identifier.

---

How to Access the Data

Clone the Repository

git clone https://github.com/DeepTrackAI/FashionMNIST_dataset
cd FashionMNIST_dataset

---

Attribution

If you use this dataset, please cite both the FashionMNIST dataset and the reference article.

Cite the dataset:

Zalando Research. Fashion-MNIST. GitHub (2017). Retrieved from github.com/zalandoresearch/fashion-mnist

@misc{fashionmnist,
  title        = {Fashion-MNIST GitHub Repository},
  author       = {Zalando Research},
  year         = {2017},
  howpublished = {\url{https://github.com/zalandoresearch/fashion-mnist}}
}

Cite the reference article:

Xiao H, Rasul K, Vollgraf R. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. arXiv preprint arXiv:1708.07747 (2017). https://arxiv.org/abs/1708.07747

@misc{xiao2017fashionmnist,
      title={Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms}, 
      author={Han Xiao and Kashif Rasul and Roland Vollgraf},
      year={2017},
      eprint={1708.07747},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/1708.07747},
      doi={10.48550/arXiv.1708.07747}
}

---

License

This replication dataset is shared under the MIT License, consistent with the original licensing terms.