Facebook is working on a facial recognition technology that is touted to be nearing human-level precision. The project, dubbed “DeepFace” is aimed at verifying whether two people in side-by-side photos are the same. Also Read - Facebook smartwatch to feature cameras alongside fitness functions: Yes, detachable cameras!
Facebook said that the technology provides 97.25 percent accurate results, which is just shy the 97.5 percent humans have scored in the same standardized test. The technology maps out 3D facial features and then makes a flat model that’s filtered by color to characterize specific facial elements to match the given images. Also Read - What happens to your Facebook account after you die?
The social networking giant said that it has 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. Facebook had introduced facial recognition feature, the actual capability to figure out who a person is in a photo, in late-2010 for US users before a worldwide rollout in 2011. Also Read - WhatsApp Multi-device support confirmed, public beta rollout begins in two months: Mark Zuckerberg
Facebook, which gets more than 350 million photos uploaded by users each day, has pointed to the tool as a way to speed up tagging.