This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
Video Face Manipulation Detection Through Ensemble of CNNs
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Determine whether a given video sequence has been manipulated or synthetically generated
Implementation of the winning solution for the Media Analytics Challenge 2023.
Helpful resources for creating deepfakes.
Towards deepfake detection that actually works
This repository offers tools for detecting DeepFakes using a hybrid CNN–LSTM model. Explore the code to train and evaluate on popular datasets like DFDC and AvLips. 🐙✨
My solution for the Deepfake Detection Challenge
AI-powered platform to detect deepfake images and videos using advanced deep learning models. Ensures content authenticity, combats misinformation, and protects user identity — all through a sleek, secure, and modern web interface.
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