deepfake-detector and DeepfakeDetector

These two deepfake detection systems are competitors, offering similar AI/ML models for detecting manipulated images, with TRahulsingh/DeepfakeDetector further distinguishing itself by also analyzing videos and providing a web interface.

deepfake-detector
42
Emerging
DeepfakeDetector
42
Emerging
Maintenance 6/25
Adoption 7/25
Maturity 16/25
Community 13/25
Maintenance 6/25
Adoption 6/25
Maturity 15/25
Community 15/25
Stars: 32
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 15
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About deepfake-detector

mytechnotalent/deepfake-detector

Deepfake Detector is an AI/ML model designed to detect AI-generated or manipulated images.

This tool helps you determine if an image has been manipulated by AI or is a genuine photograph. You provide an image, and it tells you whether the image is 'REAL' or 'FAKE'. This is useful for anyone needing to verify the authenticity of visual content, such as journalists, content moderators, or photo analysts.

content-moderation journalism image-verification digital-forensics media-authenticity

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