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Deep learning applied to computer generated image detection

This repository contains computer generated image detection experiments using deep learning techniques.

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Computer generated image detection with deep learning

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bazinho/CG

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Deep learning applied to computer generated image detection

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Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
README.md		README.md
cd-5fold-densenet121-avgpool-SVM_SVC_C10.0_gamma0.001-0.9290acc.ipynb		cd-5fold-densenet121-avgpool-SVM_SVC_C10.0_gamma0.001-0.9290acc.ipynb
cd-5fold-densenet121-avgpool-kNN_k1-0.8848acc.ipynb		cd-5fold-densenet121-avgpool-kNN_k1-0.8848acc.ipynb
cd-5fold-densenet169-avgpool-SVM_SVC_C10.0_gamma0.001-0.9358acc.ipynb		cd-5fold-densenet169-avgpool-SVM_SVC_C10.0_gamma0.001-0.9358acc.ipynb
cd-5fold-densenet169-avgpool-kNN_k1-0.8876acc.ipynb		cd-5fold-densenet169-avgpool-kNN_k1-0.8876acc.ipynb
cd-5fold-densenet201-avgpool-SVM_SVC_C10.0_gamma0.001-0.9402acc.ipynb		cd-5fold-densenet201-avgpool-SVM_SVC_C10.0_gamma0.001-0.9402acc.ipynb
cd-5fold-densenet201-avgpool-kNN_k1-0.8900acc.ipynb		cd-5fold-densenet201-avgpool-kNN_k1-0.8900acc.ipynb
cg-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9412acc.ipynb		cg-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9412acc.ipynb
cg-5fold-resnet50-finetune-Adam-200epochs-0.8212acc.ipynb		cg-5fold-resnet50-finetune-Adam-200epochs-0.8212acc.ipynb
cg-5fold-resnet50-fromscratch-Adam-200epochs-0.7585acc.ipynb		cg-5fold-resnet50-fromscratch-Adam-200epochs-0.7585acc.ipynb
cg-5fold-resnet50-pretrain-finetune-Adam-200epochs-0.9196acc.ipynb		cg-5fold-resnet50-pretrain-finetune-Adam-200epochs-0.9196acc.ipynb
cg-inceptionv3-SVM_Linear-0.9142acc.ipynb		cg-inceptionv3-SVM_Linear-0.9142acc.ipynb
cg-inceptionv3-SVM_SVC-0.9263acc.ipynb		cg-inceptionv3-SVM_SVC-0.9263acc.ipynb
cg-inceptionv3-avgpool-1fc-160neurons-relu-Adam-400epochs-0.9196acc.ipynb		cg-inceptionv3-avgpool-1fc-160neurons-relu-Adam-400epochs-0.9196acc.ipynb
cg-inceptionv3-avgpool-2fc-160neurons-relu-0.4dropout-Adam-400epochs-0.9232acc.ipynb		cg-inceptionv3-avgpool-2fc-160neurons-relu-0.4dropout-Adam-400epochs-0.9232acc.ipynb
cg-inceptionv3-avgpool-Adam-400epochs-0.9094acc.ipynb		cg-inceptionv3-avgpool-Adam-400epochs-0.9094acc.ipynb
cg-inceptionv3-avgpool-SVM_Linear-0.6447acc.ipynb		cg-inceptionv3-avgpool-SVM_Linear-0.6447acc.ipynb
cg-inceptionv3-avgpool-SVM_Linear-0.8822acc.ipynb		cg-inceptionv3-avgpool-SVM_Linear-0.8822acc.ipynb
cg-inceptionv3-avgpool-SVM_SVC-0.5508acc.ipynb		cg-inceptionv3-avgpool-SVM_SVC-0.5508acc.ipynb
cg-inceptionv3-avgpool-SVM_SVC-0.9172acc.ipynb		cg-inceptionv3-avgpool-SVM_SVC-0.9172acc.ipynb
cg-inceptionv3-maxpool-SVM_Linear-0.8642acc.ipynb		cg-inceptionv3-maxpool-SVM_Linear-0.8642acc.ipynb
cg-inceptionv3-maxpool-SVM_SVC-0.9121acc.ipynb		cg-inceptionv3-maxpool-SVM_SVC-0.9121acc.ipynb
cg-resnet50-avgpool-Adam-2000epochs-0.9513acc.ipynb		cg-resnet50-avgpool-Adam-2000epochs-0.9513acc.ipynb
cg-resnet50-avgpool-Adam-2000epochs-earlystop-0.9555acc.ipynb		cg-resnet50-avgpool-Adam-2000epochs-earlystop-0.9555acc.ipynb
cg-resnet50-avgpool-Adam-400epochs-0.9544acc.ipynb		cg-resnet50-avgpool-Adam-400epochs-0.9544acc.ipynb
cg-resnet50-avgpool-SVM_Linear-0.9374acc.ipynb		cg-resnet50-avgpool-SVM_Linear-0.9374acc.ipynb
cg-resnet50-avgpool-SVM_SVC-0.9637acc-test.ipynb		cg-resnet50-avgpool-SVM_SVC-0.9637acc-test.ipynb
cg-resnet50-avgpool-SVM_SVC-0.9637acc.ipynb		cg-resnet50-avgpool-SVM_SVC-0.9637acc.ipynb
cg-resnet50-avgpool-SVM_SVC-gridsearch-0.9690acc.ipynb		cg-resnet50-avgpool-SVM_SVC-gridsearch-0.9690acc.ipynb
cg-resnet50-avgpool-kNN_k1-0.9303acc.ipynb		cg-resnet50-avgpool-kNN_k1-0.9303acc.ipynb
cg-resnet50-avgpool-kNN_k2-0.9303acc.ipynb		cg-resnet50-avgpool-kNN_k2-0.9303acc.ipynb
cg-resnet50-avgpool-kNN_k3-0.9351acc.ipynb		cg-resnet50-avgpool-kNN_k3-0.9351acc.ipynb
cg-resnet50-avgpool-kNN_k4-0.9367acc.ipynb		cg-resnet50-avgpool-kNN_k4-0.9367acc.ipynb
cg-resnet50-avgpool-kNN_k5-0.9330acc.ipynb		cg-resnet50-avgpool-kNN_k5-0.9330acc.ipynb
cg-tsne-GIST.ipynb		cg-tsne-GIST.ipynb
cg-tsne-inceptionv3-avgpool.ipynb		cg-tsne-inceptionv3-avgpool.ipynb
cg-tsne-inceptionv3-maxpool.ipynb		cg-tsne-inceptionv3-maxpool.ipynb
cg-tsne-inceptionv3.ipynb		cg-tsne-inceptionv3.ipynb
cg-tsne-resnet50-avgpool.ipynb		cg-tsne-resnet50-avgpool.ipynb
cg-tsne-resnet50.ipynb		cg-tsne-resnet50.ipynb
cg-tsne-rgb.ipynb		cg-tsne-rgb.ipynb
cg-tsne-rgb_vgg16.ipynb		cg-tsne-rgb_vgg16.ipynb
cg-tsne-vgg16-avgpool.ipynb		cg-tsne-vgg16-avgpool.ipynb
cg-tsne-vgg16-maxpool.ipynb		cg-tsne-vgg16-maxpool.ipynb
cg-tsne-vgg16.ipynb		cg-tsne-vgg16.ipynb
cg-tsne-vgg19-avgpool.ipynb		cg-tsne-vgg19-avgpool.ipynb
cg-tsne-vgg19-maxpool.ipynb		cg-tsne-vgg19-maxpool.ipynb
cg-tsne-vgg19.ipynb		cg-tsne-vgg19.ipynb
cg-tsne-xception-avgpool.ipynb		cg-tsne-xception-avgpool.ipynb
cg-tsne-xception-maxpool.ipynb		cg-tsne-xception-maxpool.ipynb
cg-tsne-xception.ipynb		cg-tsne-xception.ipynb
cg-vgg16-2fc-160neurons-relu-0.2dropout-Adam-1000epochs-0.8956acc.ipynb		cg-vgg16-2fc-160neurons-relu-0.2dropout-Adam-1000epochs-0.8956acc.ipynb
cg-vgg16-2fc-160neurons-relu-0.4dropout-Adam-200epochs-0.9303acc.ipynb		cg-vgg16-2fc-160neurons-relu-0.4dropout-Adam-200epochs-0.9303acc.ipynb
cg-vgg16-SVM_Linear-0.8782acc.ipynb		cg-vgg16-SVM_Linear-0.8782acc.ipynb
cg-vgg16-SVM_Linear-0.9169acc.ipynb		cg-vgg16-SVM_Linear-0.9169acc.ipynb
cg-vgg16-SVM_SVC-0.8702acc.ipynb		cg-vgg16-SVM_SVC-0.8702acc.ipynb
cg-vgg16-SVM_SVC.ipynb		cg-vgg16-SVM_SVC.ipynb
cg-vgg16-avgpool-SVM_Linear-0.8700acc.ipynb		cg-vgg16-avgpool-SVM_Linear-0.8700acc.ipynb
cg-vgg16-avgpool-SVM_SVC-0.6691acc.ipynb		cg-vgg16-avgpool-SVM_SVC-0.6691acc.ipynb
cg-vgg16-kNN_k1-0.6171acc.ipynb		cg-vgg16-kNN_k1-0.6171acc.ipynb
cg-vgg16-kNN_k1-0.8118acc.ipynb		cg-vgg16-kNN_k1-0.8118acc.ipynb
cg-vgg16-kNN_k2-0.6171acc.ipynb		cg-vgg16-kNN_k2-0.6171acc.ipynb
cg-vgg16-kNN_k3-0.5785acc.ipynb		cg-vgg16-kNN_k3-0.5785acc.ipynb
cg-vgg16-maxpool-SVM_Linear-0.8289acc.ipynb		cg-vgg16-maxpool-SVM_Linear-0.8289acc.ipynb
cg-vgg16-maxpool-SVM_SVC-0.5179acc.ipynb		cg-vgg16-maxpool-SVM_SVC-0.5179acc.ipynb
cg-vgg19-2fc-160neurons-relu-0.4dropout-Adam-200epochs-0.9320acc.ipynb		cg-vgg19-2fc-160neurons-relu-0.4dropout-Adam-200epochs-0.9320acc.ipynb
cg-vgg19-SVM_Linear-0.9191acc.ipynb		cg-vgg19-SVM_Linear-0.9191acc.ipynb
cg-vgg19-SVM_SVC-0.5274acc.ipynb		cg-vgg19-SVM_SVC-0.5274acc.ipynb
cg-vgg19-avgpool-SVM_Linear-0.8622acc.ipynb		cg-vgg19-avgpool-SVM_Linear-0.8622acc.ipynb
cg-vgg19-avgpool-SVM_SVC-0.6929acc.ipynb		cg-vgg19-avgpool-SVM_SVC-0.6929acc.ipynb
cg-vgg19-kNN_k1-0.6417acc.ipynb		cg-vgg19-kNN_k1-0.6417acc.ipynb
cg-vgg19-kNN_k2-0.6417acc.ipynb		cg-vgg19-kNN_k2-0.6417acc.ipynb
cg-vgg19-kNN_k3-0.5997acc.ipynb		cg-vgg19-kNN_k3-0.5997acc.ipynb
cg-vgg19-maxpool-SVM_Linear-0.8334acc.ipynb		cg-vgg19-maxpool-SVM_Linear-0.8334acc.ipynb
cg-vgg19-maxpool-SVM_SVC-0.5181acc.ipynb		cg-vgg19-maxpool-SVM_SVC-0.5181acc.ipynb
cg-xception-SVM_Linear-0.9224acc.ipynb		cg-xception-SVM_Linear-0.9224acc.ipynb
cg-xception-SVM_SVC-0.9234acc.ipynb		cg-xception-SVM_SVC-0.9234acc.ipynb
cg-xception-avgpool-SVM_Linear-0.7124acc.ipynb		cg-xception-avgpool-SVM_Linear-0.7124acc.ipynb
cg-xception-avgpool-SVM_Linear-0.8936acc.ipynb		cg-xception-avgpool-SVM_Linear-0.8936acc.ipynb
cg-xception-avgpool-SVM_SVC-0.7852acc.ipynb		cg-xception-avgpool-SVM_SVC-0.7852acc.ipynb
cg-xception-avgpool-SVM_SVC-0.9115acc.ipynb		cg-xception-avgpool-SVM_SVC-0.9115acc.ipynb
cg-xception-maxpool-SVM_Linear-0.8786acc.ipynb		cg-xception-maxpool-SVM_Linear-0.8786acc.ipynb
cg-xception-maxpool-SVM_SVC-0.9335acc.ipynb		cg-xception-maxpool-SVM_SVC-0.9335acc.ipynb
cg_ext-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9378acc.ipynb		cg_ext-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9378acc.ipynb
cg_ext_balanced-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9406acc.ipynb		cg_ext_balanced-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9406acc.ipynb
cg_iluminants-tsne-vgg16.ipynb		cg_iluminants-tsne-vgg16.ipynb
cg_iluminants-vgg16-2fc-160neurons-relu-0.2dropout-Adam-1000epochs-0.7463acc.ipynb		cg_iluminants-vgg16-2fc-160neurons-relu-0.2dropout-Adam-1000epochs-0.7463acc.ipynb
cg_iluminants-vgg16-SVM_Linear-0.7591acc.ipynb		cg_iluminants-vgg16-SVM_Linear-0.7591acc.ipynb
cg_iluminants-vgg16-SVM_SVC-0.6776acc.ipynb		cg_iluminants-vgg16-SVM_SVC-0.6776acc.ipynb
cg_iluminants-vgg16-kNN_k1-0.6642acc.ipynb		cg_iluminants-vgg16-kNN_k1-0.6642acc.ipynb
cg_perturbations_gaussian_blur-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9660acc.ipynb		cg_perturbations_gaussian_blur-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9660acc.ipynb
cg_perturbations_gaussian_noise-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9588acc.ipynb		cg_perturbations_gaussian_noise-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9588acc.ipynb
cg_perturbations_jpeg50-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9690acc.ipynb		cg_perturbations_jpeg50-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9690acc.ipynb
cg_perturbations_jpeg70-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9679acc.ipynb		cg_perturbations_jpeg70-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9679acc.ipynb
cg_perturbations_jpeg80-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9643acc.ipynb		cg_perturbations_jpeg80-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9643acc.ipynb
cg_perturbations_jpeg90-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9645acc.ipynb		cg_perturbations_jpeg90-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9645acc.ipynb
cg_perturbations_median_blur-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9663acc.ipynb		cg_perturbations_median_blur-5fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9663acc.ipynb
cg_resized-10fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9721acc.ipynb		cg_resized-10fold-resnet50-avgpool-SVM_SVC_C10.0_gamma0.001-0.9721acc.ipynb
cg_resized-5fold-images.ipynb		cg_resized-5fold-images.ipynb
cg_resized-5fold-resnet50-avgpool-SVM_SVC-gridsearch-0.9682acc.ipynb		cg_resized-5fold-resnet50-avgpool-SVM_SVC-gridsearch-0.9682acc.ipynb

bazinho/CG

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Deep learning applied to computer generated image detection

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