Haroon AnwarMuhammad Usama2026-01-242026-01-242021-09-14https://escholar.umt.edu.pk/handle/123456789/18672Pakistan Sign Language (PSL) is a sign language that was developed for the deaf people of Pakistan so that they can communicate with each other and with hearing people. As there was no dataset available for PSL, no software product could be developed for the deaf because machine learning and deep learning models could not be trained. Therefore, this dataset has been collected for developers so that they can train, test, and evaluate their algorithms and develop products for the betterment of the deaf people of Pakistan. This dataset contains images and videos of deaf people performing basic PSL signs, such as alphabets, numbers, and commonly used words from daily communication. For this reason, the dataset can also be used by people who want to learn the basics of PSL. The dataset was collected by visiting different institutes for the deaf. The deaf individuals at these institutes were asked to perform signs from a predefined list that was developed by consulting various books and sign language experts. The videos of the deaf people performing these signs were recorded and later split into useful frames to extract images. These images can then be used to train, test, and evaluate machine learning or deep learning models. This dataset has been made available in complete form and can be used by developers, deaf people, and hearing people who want to learn the basics of Pakistan Sign Language (PSL).enThesis