In 2014 Hu Han and Anil Jain examined the demographic composition of LFW; they found that the database of images contained 77.5 percent male-labeled faces and 83.5 percent faces labeled white.[3] The gold standard for facial recognition, it turned out, was heavily skewed. I started calling these “pale male datasets.”
