English

NumtaDB - Assembled Bengali Handwritten Digits

Computer Vision and Pattern Recognition 2018-06-08 v1

Abstract

To benchmark Bengali digit recognition algorithms, a large publicly available dataset is required which is free from biases originating from geographical location, gender, and age. With this aim in mind, NumtaDB, a dataset consisting of more than 85,000 images of hand-written Bengali digits, has been assembled. This paper documents the collection and curation process of numerals along with the salient statistics of the dataset.

Keywords

Cite

@article{arxiv.1806.02452,
  title  = {NumtaDB - Assembled Bengali Handwritten Digits},
  author = {Samiul Alam and Tahsin Reasat and Rashed Mohammad Doha and Ahmed Imtiaz Humayun},
  journal= {arXiv preprint arXiv:1806.02452},
  year   = {2018}
}

Comments

6 page, 12 figures

R2 v1 2026-06-23T02:21:52.625Z