This repository contains code and documentation for analyzing the multi-task FairFace dataset and building/fine-tuning various models like Mobilenet, ResNet, and implementing contrastive learning techniques.
Ethnicity classification pipeline using Face Segmentation (BiSeNet) & EfficientNet-B4.
A diffusion model trained on FairFace with discrete conditioning on age, gender, and race. Generates high-quality face images using a custom UNet and DDPM scheduler.
Simple ethnicity classifier using transfer learning with VGG. // unfinished
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