This is a processed version of original SCUT-FBP5500.
The SCUT-FBP5500 dataset has totally 5500 frontal faces with diverse properties (male/female, Asian/Caucasian, ages) and diverse labels (facial landmarks, beauty scores in 5 scales, beauty score distribution), which allows different computational model with different facial beauty prediction paradigms, such as appearance-based/shape-based facial beauty classification/regression/ranking model for male/female of Asian/Caucasian.
Please, cite their work. This dataset should only be used for non-commercial research purposes.
@article{liang2017SCUT,
title = {SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction},
author = {Liang, Lingyu and Lin, Luojun and Jin, Lianwen and Xie, Duorui and Li, Mengru},
jurnal = {ICPR},
year = {2018}
}
I'm not the creator nor mantainer of the original dataset. Just made the script convert_to_fastai_csv.py which converts the dataset for a easier way to use on FastAI Library.