Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection

A Bangla license plates dataset (synthetic), generated with a mixture of deep learning and image processing. The labels are in darknet yolo format. [.txt, .data, .names]

EkushNet is the first research which can recognize Bangla handwritten basic characters, digits, modifiers, and compound characters. Handwritten recognition is one of the most interesting issue in present time due to its variant applications and help to make the old form and information digitization and reliable.

A Comprehensive Study on Deep Learning Approaches for Bengali Handwritten Digit Recognition

This research work aimed to develop a handwritten character recognition model using a deep convolutional neural network and analyze the three complete datasets: BanglaLekha Isolated, CMATERdb, and Ekush and get significant accuracies for all the character classes, considering the maximum number of samples they have. The aim was to improve the ba…

Machine Learning Project of SUST CSE '13 Batch(2013331009, 2013331028)

Rank 13 (92.723 % accuracy) Solution of Bengali Handwritten Digit Recognition Competition : https://www.kaggle.com/c/numta

#Bangla handwritten digit recognition