BHDD: A Burmese Handwritten Digit Dataset

Swan Htet Aung, Hein Htet, Htoo Say Wah Khaing, Thuya Myo Nyunt
3/23/2026
cs.CVcs.CL

Official code: baseresearch/BHDD (48 stars, last commit 2026-03-24).

Abstract

We introduce the Burmese Handwritten Digit Dataset (BHDD), a collection of 87,561 grayscale images of handwritten Burmese digits in ten classes. Each image is 28x28 pixels, following the MNIST format. The training set has 60,000 samples split evenly across classes; the test set has 27,561 samples with class frequencies as they arose during collection. Over 150 people of different ages and backgrounds contributed samples. We analyze the dataset's class distribution, pixel statistics, and morphological variation, and identify digit pairs that are easily confused due to the round shapes of the Myanmar script. Simple baselines (an MLP, a two-layer CNN, and an improved CNN with batch normalization and augmentation) reach 99.40%, 99.75%, and 99.83% test accuracy respectively. BHDD is available under CC BY-SA 4.0 at https://github.com/baseresearch/BHDD

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Code Implementations(1)

baseresearch/BHDDOfficial100%

Burmese Handwritten Digits Dataset (inspired by MNIST dataset)

489TeX, PythonJan 10, 20197 months agoNOASSERTION
burmeseburmese-nlpdatasetdigits-dataset

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Cite this paper

@article{aung2026bhdd,
  title  = {BHDD: A Burmese Handwritten Digit Dataset},
  author = {Swan Htet Aung and Hein Htet and Htoo Say Wah Khaing and Thuya Myo Nyunt},
  year   = {2026},
  eprint = {2603.21966},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.21966v1}
}

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