UAlpha40: A Comprehensive Dataset of Urdu Alphabets for Pakistan Sign Language
Published: 22 July 2024| Version 2 | DOI: 10.17632/3pvnnckxyb.2
Contributors:
Shahood Sajid, , Description
Hearing and speech impaired people use sign language to express their thoughts and feelings affectively to the society. This community has created it's own sign language to fill the void, which also defines their culture. This dataset is one of it's kind, as comprises of 36 static signs in JPG format and 4 dynamic signs in MP4 video format that can be trained to build highly robust model for real time detection bridging the gap. This dataset can be fully utilized to it's potential to classify sign language, words, concept of finger spelling and sentence generation.
Files
Institutions
Bahria University - Karachi Campus
Categories
Image Processing, Video Processing, Sign Language