"45 Character Bangla Sign Language Indore Dataset"

"Sign languages are vital for communication within the deaf and hard-of-hearing community. This paper introduces a novel dataset designed explicitly for the recognition of Bangla Sign Language (BdSL). Our comprehensive dataset comprises 45 distinct classes, encompassing the 10 Bangla digits, 32 Bangla characters, and 3 special characters. Initially, 200 images were collected for each class, resulting in a robust base dataset. To enhance the dataset's diversity and mitigate overfitting, we employed data augmentation techniques, expanding each class to 800 images. The augmented dataset was then meticulously split into training and testing sets, with the training portion further divided to create a dedicated validation set. This structured approach ensures a thorough evaluation of machine learning models trained on this dataset. This BdSL dataset is intended to serve as a valuable resource for researchers and developers working on sign language recognition systems, fostering advancements in human-computer interaction and promoting inclusivity for the Bangla-speaking deaf community."