Identifying faces is a relatively simple task if you're a human, but it's been a long road for computers to do the same thing. Now Facebook says it's developed a technology for verifying whether two people in side-by-side photos are the same that comes pretty close to replicating human abilities. That project is called
DeepFace, and according to Facebook it's 97.25 percent accurate, which is just shy the 97.5 percent humans have scored in the same standardized test. In order to pull off that feat, the technology maps out 3D facial features, then makes a flat model that's filtered by color to characterize specific facial elements. Facebook also says it's tapped into a pool of 4.4 million labeled faces from 4,030 different people on its network in order to help the system learn.
