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.”
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| Communique World: Face Recognition |
The much known Social network Site ‘’ Facebook “owns largest
photo library of the world and now it has the best Technology to find
and match the faces on the sites. This technology matches the photos which even
you don’t tag in the site.
Facebook has
officially announced last week that there team of Facebook researchers and a
professor has developed a program so called "DeepFace," which they say
can determine whether two photographed faces are of the same person with 97.25
percent .which nearly equal to human
sense of recognizing a object.
According to Facebook, human can recognize as equal as this technology can answer -- only a quarter
of a percent better than Facebook's software.
As an example, the developers show in a paper on the program
that DeepFace can successfully recognize that this is Academy Award winner
Sylvester Stallone.
Facebook facial recognition
Here's another example of the program recognizing who we
think is Calista Flockhart (a.k.a. "Ally McBeal"). We frankly find it
disturbing that we can't tell and it can:
Facebook facial recognition
Already, Facebook's facial recognition software is able to
suggest friends to tag when you upload a photo, using information like the
distance between eyes, nose and eyes in profile pictures and already tagged
photos. But those results are much more inaccurate than DeepFace, which uses
techniques from deep learning, a field of artificial intelligence specializing
in understanding irregular types of data.
In order to better match faces, the researchers created a
"neural network" in its software meant to imitate animals' central
nervous system.
But CEO Mark Zuckerberg has expressed deep interest in
building out Facebook's artificial intelligence capabilities when speaking to
investors in the past. His ambition actually stretches beyond facial
recognition to analyzing the text of status updates and comments to decipher
mood and context.
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.
Facebook's growing ability to recognize you when a friend
uploads photos from a vacation together has caught the attention of privacy
advocates and government officials alike. For example, more privacy-conscious
European governments have already forced Facebook to delete all of its facial
recognition data there.
