DeepFake-Detection and DeepfakeDetector

DeepFake-Detection
51
Established
DeepfakeDetector
42
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 6/25
Maturity 15/25
Community 15/25
Stars: 643
Forks: 199
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 15
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About DeepFake-Detection

dessa-oss/DeepFake-Detection

Towards deepfake detection that actually works

This project helps media analysts, journalists, or content moderators identify deepfake videos more reliably. It takes video files as input and outputs a prediction of whether the video contains real-world deepfake manipulation or other synthetic video techniques. This tool is for professionals who need to verify video authenticity, especially in contexts where deepfakes are becoming increasingly sophisticated.

video-verification digital-forensics content-moderation media-authenticity misinformation-detection

About DeepfakeDetector

TRahulsingh/DeepfakeDetector

A state-of-the-art, open-source deepfake detection system built with PyTorch and EfficientNet-B0, featuring a user-friendly web interface for real-time image and video analysis.

Quickly determine if an image or video contains a deepfake, helping you verify the authenticity of visual content. Upload your image or video file, and the system will output a prediction indicating whether it's real or fake, along with a confidence score. This tool is ideal for journalists, content moderators, social media analysts, or anyone needing to authenticate visual media.

content-verification media-authenticity fake-news-detection digital-forensics social-media-monitoring

Scores updated daily from GitHub, PyPI, and npm data. How scores work