I, for one, welcome our traffic light-identifying overlords.
Anyone who has been surfing the web for a while is probably used to clicking through a CAPTCHA grid of street images, identifying everyday objects to prove that they're a human and not an automated bot. Now, though, new research claims that locally run bots using specially trained image-recognition models can match human-level performance in this style of CAPTCHA, achieving a 100 percent success rate despite being decidedly not human.
ETH Zurich PhD student Andreas Plesner and his colleagues' new research, available as a pre-print paper, focuses on Google's ReCAPTCHA v2, which challenges users to identify which street images in a grid contain items like bicycles, crosswalks, mountains, stairs, or traffic lights. Google began phasing that system out years ago in favor of an "invisible" reCAPTCHA v3 that analyzes user interactions rather than offering an explicit challenge.
Despite this, the older reCAPTCHA v2 is still used by millions of websites. And even sites that use the updated reCAPTCHA v3 will sometimes use reCAPTCHA v2 as a fallback when the updated system gives a user a low "human" confidence rating.
What they are doing is comparing your answer and seeing if it is consistent with how it has been answered previously. They realize that not everyone is going to give the exact same answer, so as long as you answer it in a way that enough other people have answered it, it should let you in.
I'll usually go with the minimum number of clicks that I think will get me through, since I'm lazy and it'll also at times slow down how fast you can click which is annoying.
I'll also answer them wrong if I think it's a mistake that enough other people will make. "Yes... that RV over there is a bus..."
One of the questions asks you to click on only the school buses. I had to Google how you tell the difference between a school bus and not a school bus.
Also is it a crosswalk if it's at an intersection or is it only a crosswalk if it's in the middle of a road somewhere?
The questions either need to be not cultural or they need to be adapted for where they detect the user is coming from, the first option seems easier.
I guess the British government just assume that school children are smart enough to get on the right bus without them being individually distinct.
I knew school buses are yellow but I did not realize that they are always yellow. I did not realize that the yellow color meant school. I just assumed that the yellow color was a color busses could be.
Maybe it’s lack of transit in the us, I don’t know. Almost every public school district I’m familiar with, uses standard yellow school buses to bring kids to and from school. However Boston city schools give the kids an MBTA pass - I don’t know if that differed by age - and I imagine that’s true of other downtown schools where there’s transit
So if you see a picture that obviously a regular bus, alongside a different bus, what would you infer from that when asked which bus is not the same as "any bus"?