Deep learning based content moderation from text, audio, video & image input modalities.

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

Violence Detection using 3D Convolutional Neural Networks

Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation

A human violence detection & classification system using recurrent neural networks(RNN).

Surveillance System Against Violence

Realtime Violence Detection with Raspberry-pi

real-time violence detection on video content

빅데이터 연합동아리 BOAZ 12기 ADV Vision 팀 [Fight Detection] 레포지토리입니다.

Abstract— Violence detection has been investigated extensively in the literature. Recently, IOT based violence video surveillance is an intelligent component integrated in security system of smart buildings. Violence video detector is a specific kind of detection models that should be highly accurate to increase the model’s sensitivity and reduc…

Explainable Content Moderation performed using CNNs and visualized using Grad-CAM

This project aims at classifying a video into a fight or non-fight video

I3D implemetation in Keras + video preprocessing (rgb and optical flows) to detect violence in videos with weak labels (Weakly Supervised) on XD-Violence dataset (Multi-Label, Multi-class and untrimmed videos) using Keras

Deeply Supervised Practical Implementation of Violence Detection from Videos for Maximizing Performance

Realtime Violence Detection WebApp - DL | OPENCV | STREAMLIT 🌈❤️

Deep Learning-Based Approach to Detect Violence

Violence recognition in streaming video using Transfer Learning and MoViNets. The project leverages state-of-the-art deep learning techniques to create an efficient and accurate violence detection system.