Computer algorithm outperforms humans on 'Labeled Faces in the Wild' benchmark
Thursday, April 24, 2014 - 08:40
in Mathematics & Economics
(Phys.org) —For the first time a computer has beaten the human average when attempting to discriminate between faces in the Labeled Faces in the Wild (LFW) dataset. The team from China that programmed the computer and trained the software has written a paper describing their efforts and achievements and have uploaded it to the arXiv preprint server.