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Repository for an independent study project focusing on "From Duplication to Diversification: Evaluating Image Diversity in GAN-Generated Datasets." Compare GAN-generated and augmented images for visual feature heterogeneity and their impact on machine learning model performance. Forked GAN models from "PyTorch-StudioGAN."

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zseda/ImageDiversity-GAN-Evaluation

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Repository for an independent study project focusing on "From Duplication to Diversification: Evaluating Image Diversity in GAN-Generated Datasets." Compare GAN-generated and augmented images for visual feature heterogeneity and their impact on machine learning model performance. Forked GAN models from "PyTorch-StudioGAN."

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  • Python 84.8%
  • Cuda 11.5%
  • C++ 3.7%