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>> “With this algorithm, you can search through a billion photographs in less than a second from a normal computer,” With Intel Core i7 5960X (238,310 MIPS at
by wangii 10y ago
>> “With this algorithm, you can search through a billion photographs in less than a second from a normal computer,”
With Intel Core i7 5960X (238,310 MIPS at 3.0 GHz), it only takes 238 instructions for a photo?
- gunshigh 10y agoIt's likely using a nearest neighbor or tree search; it might take a billion instructions to process a single photo and another billion to do the nearest neighbor search.
- deleted 10y ago[deleted]
- aub3bhat 10y agoThe 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 agoThat 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 agoThe 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.
- beachstartup 10y ago"from" a normal computer. meaning a terminal, connected to the internet.