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Archive for Μαρτίου 2014

Facebook Can Match Faces With 97.25% Accuracy

forbes.com

Have you noticed that Facebook is getting better at making suggestions for people to tag in the photos that you have uploaded? Facebook will only get better at identifying faces thanks to advances in artificial intelligence and “deep learning.” Facebook researchers are currently developing algorithms called “DeepFace” to detect whether two faces in unfamiliar photos are of the same person with 97.25% accuracy, regardless of lighting conditions or angles. As a comparison, humans generally have an average of 97.53% accuracy. This means that Facebook’s facial-processing software has nearly the same accuracy as humans.

Yaniv Taigman, one of Facebook’s artificial intelligence scientists, said that the error rate has been reduced by over 25% relative to earlier software that handles the same task. Taigman co-founded Face.com in 2007, which was acquired by Facebook a couple of years ago. Prior to the acquisition, Face.com built apps and APIs that could scan billions of photos every month and tag faces in those photos. Taigman developed DeepFace with fellow Facebook research scientists Ming Yang and Marc’Aurelio Ranzato, along with Tel Aviv University faculty member Lior Wolf.
DeepFace

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Written by gr.mme.observer

19 Μαρτίου 2014 at 1:01 πμ

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