DeepFake-Detect and deepfake-detector

Both are open-source deepfake detection projects that allow users to train their own models, indicating they are competitors offering similar core functionalities in the "deepfake-detection-systems" category.

DeepFake-Detect
61
Established
deepfake-detector
42
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 6/25
Adoption 7/25
Maturity 16/25
Community 13/25
Stars: 152
Forks: 50
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 32
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About DeepFake-Detect

aaronchong888/DeepFake-Detect

Open-source deepfake detection: train your own model with TensorFlow, Keras & EfficientNet

This tool helps you train your own custom detector to spot deepfake videos and images. You provide a collection of videos, and it processes them to identify and crop faces, then trains a model that outputs a prediction of whether a face is real or artificially manipulated. This is ideal for media analysts, content moderators, and researchers who need to verify video authenticity.

media-authenticity content-moderation digital-forensics video-analysis fraud-detection

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

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