mlsanityData to 7 Oct 2026

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

arXiv 1708.07747 ↗First posted 25 Aug 2017cs.LG cs.CV stat.MLcited by 4,283

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Cited by 111 in LLM safety and security, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIST is intended to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms, as it shares the same image size, data format and the structure of training and testing splits. The dataset is freely available at https://github.com/zalandoresearch/fashion-mnist

Key facts. Cited by 4,283 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Aug 2017.

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Citing papers per year: 2020: 3; 2021: 703; 2022: 772; 2023: 800; 2024: 798; 2025: 724; 2026: 483.

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