AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018
Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam, Rashed Mohammad, Doha, Manash Kumar Mandal, Tahsin Reasat, Fuad Rahman

TL;DR
This paper introduces the Bengali.AI Computer Vision Challenge 2018, which aimed to develop AI models capable of recognizing Bengali handwritten digits, addressing a lack of structured datasets and fostering local and international collaboration.
Contribution
It presents a new challenge and dataset for Bengali handwritten digit recognition, encouraging research and development in this underexplored language-specific AI task.
Findings
Successful organization of a competitive challenge involving multiple teams.
Creation of a structured dataset for Bengali handwritten digits.
Enhanced interest and progress in Bengali OCR research.
Abstract
Solving problems with Artificial intelligence in a competitive manner has long been absent in Bangladesh and Bengali-speaking community. On the other hand, there has not been a well structured database for Bengali Handwritten digits for mass public use. To bring out the best minds working in machine learning and use their expertise to create a model which can easily recognize Bengali Handwritten digits, we organized Bengali.AI Computer Vision Challenge.The challenge saw both local and international teams participating with unprecedented efforts.
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Advanced Neural Network Applications · Infrastructure Maintenance and Monitoring
