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]
Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection
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
Add a description, image, and links to the bangla-digit-recognition topic page so that developers can more easily learn about it.
To associate your repository with the bangla-digit-recognition topic, visit your repo's landing page and select "manage topics."