Fight Detection Video Dataset

This fight detection dataset supports video surveillance systems used in streets, transport hubs, and public venues. The dataset contains fighting scenes captured from different cameras, helping detection algorithms recognize violent actions, abnormal activity, and fast motion patterns. It improves automatic violence detection in crowded scenes and real-world surveillance scenarios.

Retail security teams use this surveillance dataset to train models that detect fights, aggressive behavior, and violent interactions inside stores and malls. Labeled video clips with varied camera angles help recognition systems distinguish physical violence from non-violent actions. This reduces false alerts and strengthens proactive loss prevention strategies.

This dataset is well suited for CCTV cameras deployed in stations, airports, and vehicles. It enables detecting violence, group fights, and abnormal events in crowded environments. By learning spatio-temporal features from video footage, detection systems can trigger faster responses to violent scenarios and security threats.

Researchers use this violence detection dataset as training data for action recognition, anomaly detection, and motion analysis tasks. The dataset includes diverse violent sequences and metadata, making it useful for benchmarking detection techniques, testing recognition tasks, and improving model performance across different surveillance systems and camera setups.