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NumtaDB - Assembled Bengali Handwritten Digits

2018-06-06 · Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha, Ahmed Imtiaz Humayun

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.

📄 PDF Abstract BibTeX arXiv:1806.02452

Code (2)

MayurakshaSikdar/Hadoop-Cluster-in-Machine-Learning tf
sammyamajumdar/bengaliAI

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