1. A method performed on a computing device, the method comprising: determining, by the computing device for each image in a set of images, facial recognition data that, for each face detected by the computing device in the each image, comprises a face identifier that uniquely identifies the each face, a set of facial feature descriptors, a face score that is based on an open/closed state of the each face's eyes and mouth and that indicates an overall quality of the each face, and a face signature that, across the images in the set, uniquely identifies an entity that the each face represents; and grouping, by the computing device based at least on the face signatures and the face scores, images of the set into one or more groups, where each group comprises one or more images that each show a detected face that represents a same entity as that represented by any other detected face shown in any image in the each group.
1. A method performed on a computing device, the method comprising: determining, by the computing device for each image in a set of images, facial recognition data that, for each face detected by the computing device in the each image, comprises a face identifier that uniquely identifies the each face, a set of facial feature descriptors, a face score that is based on an open/closed state of the each face's eyes and mouth and that indicates an overall quality of the each face, and a face signature that, across the images in the set, uniquely identifies an entity that the each face represents; and grouping, by the computing device based at least on the face signatures and the face scores, images of the set into one or more groups, where each group comprises one or more images that each show a detected face that represents a same entity as that represented by any other detected face shown in any image in the each group. 3. The method of claim 1 where a face with a face score below a particular threshold is not included in the grouping.