An Advance In Image Recognition Software
Roland Piquepaille alerts us to work by US and Israeli researchers who have developed software that can identify the subject of an image characterized using only 256 to 1024 bits of data. The researchers said this "could lead to great advances in the automated identification of online images and, ultimately, provide a basis for computers to see like humans do." As an example, they've picked up about 13 million images from the Web and stored them in a searchable database of just 600 MB, making it possible to search for similar pictures through millions of images in less than a second on a typical PC. The lead researcher, MIT's Antonio Torralba, will be presenting the research next month at a conference on Computer Vision and Pattern Recognition.
This will be used to break CAPTCHA-type schemes even worse than they already are.
thank god, now i can get some assistance when i'm taking one of those "real tits or fake tits" online quizes. fapfapafap.
If I read you correctly - and I think I do... You mean to say that snake oil is somehow... invisible?
No wonder those snakes are not only so quiet, but I never even see 'em coming!
Geez. We don't stand a chance.
"Flyin' in just a sweet place,
Never been known to fail..."
Oh my, the soon to be most searched "name" on the web is... Jenna Jameson! Wait a minute, I think I misunderstood "facial" recognition...
Sig Registration Form 34c_766(a) submitted to Ministry of Signature Management. Approval pending.
Or rather... I'll believe it when it sees me!