MNIST-MIX: a multi-language handwritten digit recognition dataset Article Swipe

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Weiwei Jiang ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1088/2633-1357/abad0e · OA: W3015200942

In this note, 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.