Comparative Analysis on Violence Detection Using Yolo and ResNet

In recent years, computer vision and machine learning have been pivotal in advancing violence detection systems, especially in domains like public safety. This study focuses on detecting violence in crowded settings such as schools, malls, and workplaces, where traditional methods struggle due to scale and monitoring complexities. Our paper introduces an intelligent system for violence detection using cutting-edge deep learning models. We conduct a comprehensive comparative analysis of ResNet50 and YOLOv8, exploring their strengths and weaknesses in violence detection.