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README.md

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+# 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.