The Development, Applications, Challenges, and Analysis of a Cricket Player Face Recognition Dataset

Abstract

Over the last decade, face recognition technology has played a critical role in various circumstances, such as airport boarding, security applications, biometric verification, and smart homes. Along with the major role of face recognition in the areas above, we must recognize the important role of face recognition in various sports (i.e., cricket and football). The importance of proper player surveillance and identification in sports, particularly cricket, cannot be overstated. Articles are saturated with many deep-face evaluation systems; however, they are not up to mark due to the lack of significant face posture data. To address the black box in facial expression datasets, this chapter presents a comprehensive cricket player facial recognition dataset. The authors have a wide selection of cricket player images from various teams, playing styles, and backgrounds. It includes images taken during games, practices, and official team photos, providing a diverse range of facial changes and challenges for facial recognition systems. Furthermore, they evaluate the efficacy of cutting-edge facial recognition algorithms on our dataset, providing insights into the effectiveness of current methodologies as well as potential areas for development. Eventually, the extensive experimental analyses demonstrate that the current work is significant in addressing the black box in facial expression datasets.