Debiasing Facial Detection System

The project used MIT's algorithm to debias facial detection systems using generative models. The goal was to reduce biases during image classification. A dataset was created, cleaned, normalized, and trained on various architectures.We used hyper parameter tuning to achieve robust results. In the end, we published our work to arxiv.org - a preprint server and open repository of Cornell University. Link to Publication : https://arxiv.org/abs/2204.09556