LETTER Communicated by Garrison Cottrell Facial Attractiveness: Beauty and the Machine

Thiswork presents a novel study of the notion of facial attractiveness in a machine learning context. To this end, we collected human beauty ratings for data sets of facial images and used various techniques for learning the attractiveness of a face. The trained predictor achieves a significant cor-relation of 0.65 with the average human ratings. The results clearly show that facial beauty is a universal concept that a machine can learn. Analy-sis of the accuracy of the beauty prediction machine as a function of the size of the training data indicates that a machine producing human-like attractiveness rating could be obtained given amoderately larger data set.