DeepFake_Detection and deepfake-detection
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.
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.
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