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MNIST Handwritten Digits Dataset

The MNIST handwritten digits dataset is a widely used benchmark dataset that consists of 60,000 training images and 10,000 testing images of handwritten digits, allowing researchers to evaluate their image classification algorithms.

Data and Resources

Cite this as

Yann Lecun, Corinna Cortes (2024). Dataset: MNIST Handwritten Digits Dataset. https://doi.org/10.57702/fqsa192z

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.48550/arXiv.1801.09467
Author Yann Lecun
More Authors
Corinna Cortes
Homepage https://www.mnist.org/