10 citations · 11 across the 4 of their papers we have counts for
6 papers
MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor Segmentation
Tahsin Reasat, Stephen Chenard, Akhil Rekulapelli +5
Accurate musculoskeletal soft tissue tumor segmentation is vital for assessing tumor size, location, diagnosis, and response to treatment, thereby influencing patient outcomes. How…
OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking
Fazle Rabbi Rakib, Souhardya Saha Dip, Samiul Alam +11
We present OOD-Speech, the first out-of-distribution (OOD) benchmarking dataset for Bengali automatic speech recognition (ASR). Being one of the most spoken languages globally, Ben…
BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset
Md. Istiak Hossain Shihab, Md. Rakibul Hasan, Mahfuzur Rahman Emon +14
While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has…
Bengali Common Voice Speech Dataset for Automatic Speech Recognition
Samiul Alam, Asif Sushmit, Zaowad Abdullah +6
Bengali is one of the most spoken languages in the world with over 300 million speakers globally. Despite its popularity, research into the development of Bengali speech recognitio…
AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018
Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam +4
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 wel…
NumtaDB - Assembled Bengali Handwritten Digits
Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha +1
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.…