The VGG-Face descriptor is vector coding of a person’s identity generated by a Convolutional Neural Network (CNN). The CNN is trained on a very large scale dataset of 2.6M face images from 2.6K different people. The CNN is based on the very deep VGG-16 architecture. The descriptor can be generated from either a single photograph or from a set of faces tracked in a video.