4 ms·
Those images are infuriating! Click all boxes with traffic lights. Ok, well, this one box just barely contains the bottom right corner of the traffic light. Cl
by teilo 8y ago
Those images are infuriating!
Click all boxes with traffic lights. Ok, well, this one box just barely contains the bottom right corner of the traffic light. Click. Nope, that little corner didn't count. Try again. Ok, well on this one, the right side of the traffic light is only barely over the line, so I won't click it. Nope, that sliver of the light mattered this time. MF!
- jsgo 8y agothis on so many levels. Thankfully they'll eventually fall back to the "click the images of _object_ until there are no pictures left with a(n) _object_" in it, but those clicking block ones of a specific picture are super frustrating.
- SilasX 8y agoHeh, maybe one day they can show a bunch of pictures of sand, where each subsequent pic has a grain removed, with the instructions "click on all the heaps". Spambots will solve the Sorites paradox!
- roywiggins 8y ago"Click all the ships of Theseus"
- Legogris 8y ago"Is there no ship? Close the browser window."
- rolph 8y agoclick on each star that is currently visable out your window :-/
- menacingly 8y agoI assumed the infuriating ambiguity is intentional, in order to train some algorithm they need to know what the prevailing human correct judgement is in dicey situations
- jonas21 8y agoI don't think it's intentional -- it probably just emerges from the training process. I'm guessing they do something like load up a batch of images and once N people agree on one, record the answer and remove it from the rotation. You end up left with the ambiguous images where people couldn't agree.
- iheartpotatoes 8y agoThen why do I keep seeing the same g-damn FIRE HYDRANT! :)
- mehrdadn 8y agoI'm convinced the ambiguity is intentional. What I don't get is what answer they expect in those scenarios.
- jononor 8y agoIt is just a consequence of other humans also having problems with these cases. They do not mind that you have to make multiple attempts, it is just more yummy data for their bots (their machine learning algorithms are trained on this stuff).
- mehrdadn 8y agoI'm pretty convinced they're not really using these for ML, but that their ML algorithms have already run on these and they already know these difficult (read: ambiguous) enough to make you give up. These cases specifically only come up when they seem to think you're probably a bot (based on cookies or IP or whatever). They seem to deliberately put the photo boundaries such that they slice through whatever object they want you to look for. And they intentionally make the delays extremely long. These don't happen when they think you're probably a human and just want to throw an extra hurdle (like if you're Googling a little too frequently from your usual browser/location).
- drusepth 8y agoI always figure they're looking for a population consensus. They're doing image recognition at scale and these are clearly ambiguous, hard images to classify. They could easily have a few people at Google say, "I determine this is a storefront" and make that the "correct" answer, but I think they're more interested in a consensus of what most "normal" people would classify as a storefront, especially in potentially-volatile classifications where real humans might argue over the answer. They can skip the argument and just know which side will win it.
- darkpuma 8y agoWhat they're actually getting though is the population consensus of what normal people believes Google's image classifier believes. The system incentivizes users to reinforce misconceptions their classifier has. Does this look like a mountain to you? https://0x0.st/zzvr.jpg https://0x0.st/zzvr.jpg Google's image classifier would think that's a mountain. If you disagree, google will classify you as a robot. After failing these sort of challenges a few times the user decides to play along and tell google what they think google wants to hear, rather than the truth.
- nomel 8y agoI actually have a few screenshots where the task was impossible since the data was mislabeled. The latest example was "click all of the buses". It wouldn't let me continue because I wouldn't select the fire truck. My naive assumption is that you should click the "refresh" button in these cases.
- Freak_NL 8y agoJust click whatever you suspect is needed to pass. Don't go above and beyond trying to give the actual right answer; you're just feeding some proprietary database owned by Google. QA for it is their problem.
- SahAssar 8y agoThere is some alternate (or future) reality where a google self driving car accident is blamed on bad training data from CAPTCHAs.
- darkpuma 8y ago> " It wouldn't let me continue because I wouldn't select the fire truck." Another one is "click the mountains". It typically won't let you through unless you click anything with trees on the horizon, even if the terrain is clearly flat. Google's robot thinks mountains are made out of wood, and any human who disagrees is labeled a robot. It's insanity.
- cesarb 8y agoI've recently gotten caught in one of these, where it was "click all of the bicycles" and after a few clicks (it was one of those which fade out to present a new picture) the only "bicycle" left was a bicycle-shaped street decoration. It wouldn't let me proceed unless I clicked on something, so I had to refresh to get a new task.
- deleted 8y ago[deleted]
- unclebucknasty 8y ago>Those images are infuriating! And, does the pole count? The whole thing is way more stressful than it needs to be for what it is.