/Facial-Beauty-Prediction

Explore SCUT FBP5500 dataset for face rating prediction as part of CPSC 540 course

Primary LanguageJupyter Notebook

Facial Beauty Prediction

In this project, we are trying to replicate the results of this paper by estimating the attractiveness rating of faces of SCUT_FBP5500 dataset as part of CPSC540 course at UBC. The dataset is obtained from here.

Data cleaning is done using R to obtain the average user rating for each face in SCUT_FBP5500 dataset. These ratings can be seen in this file.

The Final Notebook is here for this project.The MAE value obtained in the paper is 0.2518 using ResNeXt-50 model while we were able to obtain 0.4967 using Resnet50 model.

The resources that helped me are: