XBACTYN / Fake-image-detector-agregator-NN-

Separates real and fake images

Fake-image-detector-agregator-NN-

Agregator of fake image detectors via neural networks.
To root directory add folder "models" and fill with models method_ela_2.h5; model_c1.pth;spoffnet.h5;mobilenetv2.h5
All models was taken from github.
To start run interface.py
Models can be downloaded from google disk https://drive.google.com/drive/folders/1Lciwu3vetK88V8MWzVdLTy4BALPfMVUd?usp=sharing\
References:

1. https://github.com/z1311/Image-Manipulation-Detection
2. https://www.kaggle.com/code/shaft49/real-vs-fake-images-casia-dataset
3. https://www.kaggle.com/code/anantgupt/real-vs-fake-faces/notebook#Accuracy-On-test-set
4. https://github.com/roytravel/pattern-recognition