Google: Our New System For Recognizing Faces Is the Best

schwit1 writes Last week, a trio of Google researchers published a paper on a new artificial intelligence system dubbed FaceNet that it claims represents the most accurate approach yet to recognizing human faces. FaceNet achieved nearly 100-percent accuracy on a popular facial-recognition dataset called Labeled Faces in the Wild, which includes more than 13,000 pictures of faces from across the web. Trained on a massive 260-million-image dataset, FaceNet performed with better than 86 percent accuracy.

The approach Google's researchers took goes beyond simply verifying whether two faces are the same. Its system can also put a name to a face—classic facial recognition—and even present collections of faces that look the most similar or the most distinct. Every advance in facial recognition makes me think of Paul Theroux's dystopian Ozone.

Comments

Confusion

[clam666]

FaceNet achieved nearly 100-percent accuracy...

" performed with better than 86 percent accuracy. "

I'm not able to parse these numbers, or I have a misunderstanding as to what nearly means.

Re:Confusion

[clam666]

Thanks for clearing that up.

Maybe I screwed up by being on reddit to long earlier, but unless it detects cats I see no use for this technology.

Re:Somehow I don't feel like celebrating

[clam666]

But how will they ever tag neckbeards? There's too much data interference to get a good analysis of the face for the neural network. Neckbeards will take over us all and be immune to surveillance. We'll have to go back to reading license plates of cars at Taco Bell at 3am.

Re:why do we continue to do research..

[Anonymous Coward]

why do we continue to do research..
on really BAD ideas and freedom-killing ideas?

Same reason we continue to write posts with the first sentence in the title:

Because we are fucking self-centered assholes who think we are clever and
don't give a damn whether or not our actions make life harder for other people.