| # Model Card |
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| SynthPar-Zero is a conditional StyleGAN2 model capable of creating synthetic face images with specified attributes like race and sex. |
| It is built upon the StyleGAN2 architecture and trained on the VGGFace2 dataset, which uses a 4 race (Asian, White, Indian, Black) and 2 sex (Male, Female) categorization scheme. |
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| # Intended Use |
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| The primary intended use of this model is to generate synthetic face images with controlled demographic attributes. |
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| These generated images can be utilized for various purposes, such as: |
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| - Developing and evaluating face recognition models with the goal of reducing performance disparities across different demographic groups. |
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| - Augmenting existing face datasets to improve their diversity and balance. |
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| - Conducting research on fairness and bias in facial recognition systems. |
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| # How to Use |
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| Please refer to the github [repo](https://github.com/pravsels/SynthPar-Zero) for further guidance. |
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| # License |
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| The SynthPar-Zero model is released under the MIT license. |
