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The Google FaceNet and other similar system typically perform an approximate nearest neighbor search in a ~128 dimensional embedding of faces. Here is the pape

The Google FaceNet and other similar system typically perform an approximate nearest neighbor search in a ~128 dimensional embedding of faces. Here is the paper for the reference: http://arxiv.org/pdf/1503.03832v3.pdf http://arxiv.org/pdf/1503.03832v3.pdf Also 70% accuracy is like really really bad. Here are results from MegaFace Challenge, which involved identifying face in presence of Million distractors: http://megaface.cs.washington.edu/results/fgnetresults.html http://megaface.cs.washington.edu/results/fgnetresults.html

matheweis 10y ago
That was with the FGNet dataset... Ntech labs (incidentally the algorithm behind FindFace) beat Googlr on the FaceScrub dataset. http://megaface.cs.washington.edu/results/facescrubresults.html http://megaface.cs.washington.edu/results/facescrubresults.h...
pradn 10y ago
The accuracy is not 70%. The percentage of times it is able to match a face to a social media profile, given the person has a profile, is 70%. You can't compare apples-to-apples with the results in Google's FaceNet.