DeepFake_Detection and deepfake-detection

DeepFake_Detection
41
Emerging
deepfake-detection
38
Emerging
Maintenance 6/25
Adoption 8/25
Maturity 8/25
Community 19/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Stars: 67
Forks: 19
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 113
Forks: 35
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License No Package No Dependents
No License Stale 6m No Package No Dependents

About DeepFake_Detection

Balaji-Kartheek/DeepFake_Detection

Designed and Developed end-to-end scalable Deep Learning Project. It is a detection system trained using InceptionV3(CNN model) + GRU(Sequential model) model to classify a video as Real or Fake. Obtained the test accuracy of 89%.

This project helps identify manipulated videos, known as deepfakes, by analyzing video frames to determine if a person's face has been digitally altered. You input a video file, and the system outputs a classification of whether the video is 'REAL' or 'FAKE'. This is useful for content moderators, journalists, or anyone needing to verify video authenticity on social media or other platforms.

content-moderation video-verification digital-forensics fake-news-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

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