{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/numtadb-assembled-bengali-handwritten-digits","title":"NumtaDB - Assembled Bengali Handwritten Digits","arxiv_id":"1806.02452","date":"2018-06-06","proceeding":null,"authors":["Samiul Alam","Tahsin Reasat","Rashed Mohammad Doha","Ahmed Imtiaz Humayun"],"abstract":"To benchmark Bengali digit recognition algorithms, a large publicly available\ndataset is required which is free from biases originating from geographical\nlocation, gender, and age. With this aim in mind, NumtaDB, a dataset consisting\nof more than 85,000 images of hand-written Bengali digits, has been assembled.\nThis paper documents the collection and curation process of numerals along with\nthe salient statistics of the dataset.","url_abs":"http://arxiv.org/abs/1806.02452v1","url_pdf":"http://arxiv.org/pdf/1806.02452v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"numtadb-assembled-bengali-handwritten-digits","repo_url":"https://github.com/MayurakshaSikdar/Hadoop-Cluster-in-Machine-Learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"numtadb-assembled-bengali-handwritten-digits","repo_url":"https://github.com/sammyamajumdar/bengaliAI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"numtadb","name":"NumtaDB","full_name":"Assembled Bengali Handwritten Digits"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1806.02452","atlas_url":"https://app.syntology.ai/?focus=1806.02452","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}