Violence Detection in Campus Surveillance

The dataset was specifically created to address the need for violence detection in surveillance systems. It consists of self-recorded videos simulating different types of violent activities relevant to college environments. The dataset is organized into four distinct classes:SlapPunchKickGroup ViolenceOthers - Over Crowding, Loitering, Assault, AbuseEach video is labeled according to its corresponding class to facilitate supervised learning for violence detection models.