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arXiv · 2004.03848

MNIST-MIX: A Multi-language Handwritten Digit Recognition Dataset

Weiwei Jiang
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Abstract

In this letter, we contribute a multi-language handwritten digit recognition dataset named MNIST-MIX, which is the largest dataset of the same type in terms of both languages and data samples. With the same data format with MNIST, MNIST-MIX can be seamlessly applied in existing studies for handwritten digit recognition. By introducing digits from 10 different languages, MNIST-MIX becomes a more challenging dataset and its imbalanced classification requires a better design of models. We also present the results of applying a LeNet model which is pre-trained on MNIST as the baseline.

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BibTeXRIS

Weiwei Jiang. 2020-04-08. MNIST-MIX: A Multi-language Handwritten Digit Recognition Dataset. https://doi.org/10.1088/2633-1357%2Fabad0e

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