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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.

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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
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Corinna Cortes
Homepage https://www.mnist.org/