Stanford researchers have trained a neural network to determine the sexual orientation of a person based on their facial photos. Given five images, the neural network was able to predict with 91% accuracy whether the person was gay or heterosexual. Human judges were correct only 61% of the time.

https://www.gsb.stanford.edu/faculty-research/publications/deep-neural-networks-are-more-accurate-humans-detecting-sexual