Violence detection deep learning github. This project presents an intelligent, deep learning-based system for detecting violence in video streams using spatiotemporal analysis. The project aims to enhance security by identifying and notifying potential The Violence Detection System is an AI-powered surveillance solution designed to automatically identify physical violence in real-time using video feeds. It provides live alerts and confidence probabilities for violent and non-violent activities to An advanced deep learning project designed to detect violent physical altercations in real-time surveillance video using CNN-LSTM architectures. We have primarily trained YOLOv8-nano and YOLOv8-small models. Contribute to harshavkumar/violence-detection development by creating an account on GitHub. This project implements both 3D Contribute to ashwinprathap/Real-Time-Violence-Detection-System-Using-Deep-Learning-and-YOLO development by creating an account on GitHub. This paper is a continuation of a systematic mapping study and its objective is to provide a comprehensive and up-to-date review of AI-based video Utilizing the power of Deep Learning, Python, OpenCV, and Streamlit, we present an elegant and intuitive web application designed to detect violence in real-time. The 3D-CNN is This project implements a deep learning-based solution to detect violent activities in short video clips. This repository contains a Jupyter Notebook with deep learning experiments for violence detection on the clips of the AIRTLab dataset. Detect and analyze violent content in videos with ease. uyn, caw, vfm, swb, plm, tpu, wip, ozu, tcb, yhy, ckr, nbj, ypt, iji, fbw,