VID: A comprehensive dataset for violence detection in various contexts.

ABSTRACT: Security professionals and law enforcement, who presently have to manually go through hours of film to find minor incidents, are becoming more interested in automated crime and violence detection. Developments in computer vision and machine learning are enabling automated systems to quickly scan and mark relevant incidents, reducing the workload of human investigators. Most existing datasets tend to focus on too specific situations (e.g., vehicle violence). Typically, these datasets consist of a limited number of video clips gathered from various sources, such as YouTube. Furthermore, the lack of distinct action-based groups or precise diversity in these datasets may limit their broader usefulness. To overcome the constraints of existing datasets, we have developed a balanced dataset that

SUBMITTER: Mahi ABS 

PROVIDER: S-EPMC11951989 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature