Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.
Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.
We show that faces contain much more information about sexual orientation than can be perceived or interpreted by the human brain. We used deep neural networks to extract features from 35,326 facial images. These features were entered into a logistic regression aimed at classifying sexual orientation. Given a single facial …