JARVVVIS / DeepFake-Detection

Various DeepFake techniques implemented in Pytorch

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DeepFake Detection

DeepFakes have been in the news for over a year now, mostly for all the wrong reasons. This repository is home to Pytorch implementations of various deepfake detection algorithms, tested on Google AI's Deep Fake Detection Dataset.

Algorithms

  1. Data : Due to computational constraints, trained the MesoInception4 network on a subset of the DeepFake Detection dataset(363 videos from both real and manipulated classes).

    Results : The data was trained for 30 epochs using all default hyperparamametes and network as mentioned in the original paper.

     Training Accuracy: 93.75% 
     Test Accuracy: 90.42%
    

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Various DeepFake techniques implemented in Pytorch


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