| # Model Card | |
| SynthPar 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. | |
| # Intended Use | |
| The primary intended use of this model is to generate synthetic face images with controlled demographic attributes. | |
| These generated images can be utilized for various purposes, such as: | |
| - Developing and evaluating face recognition models with the goal of reducing performance disparities across different demographic groups. | |
| - Augmenting existing face datasets to improve their diversity and balance. | |
| - Conducting research on fairness and bias in facial recognition systems. | |
| # How to Use | |
| Please refer to the github [repo](https://github.com/pravsels/SynthPar) for further guidance. | |
| # License | |
| The SynthPar model is released under the MIT license. |