DeepFake-Detect and deepfake-detection

DeepFake-Detect
61
Established
deepfake-detection
38
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Stars: 152
Forks: 50
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 113
Forks: 35
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License Stale 6m 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-detection

xinyooo/deepfake-detection

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

This tool helps content moderators, journalists, and social media analysts identify whether a video has been manipulated or is authentic. You input a video file, and it tells you if the content is likely a deepfake or a real recording. This is for anyone who needs to verify the authenticity of video content.

content-moderation video-verification journalism-ethics digital-forensics media-authenticity

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