- Track: Geospatial
- Room: AW1.120
- Day: Saturday
- Start: 10:30
- End: 10:55
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Bots and spam are challenges for online platforms. Traditional CAPTCHAs help block bots, but often involve improving proprietary maps and software, while exposing user information to third-party CAPTCHA providers. OpenStreetMap (OSM) has many objects remaining to be mapped, but the quality of AI-generated objects is not high enough for direct inclusion. We introduce “MapTCHA”, a CAPTCHA that leverages the uncertainty of interpreting imagery with computer vision, and provides human verification for AI predictions: users are asked to identify images containing correctly interpreted objects, e.g. building outlines.
We separate known positive cases, where both the AI prediction and OSM contain an object, from unknown cases, where objects are only in the prediction. We also generate known negatives from areas where objects are neither in OSM no
8 Comments
thepuppet33r
This is amazing. Much prefer this to helping train autonomous vehicles.
barbazoo
I’m not sure how effective captchas really are at filtering out bots. But if they do work, I’d much rather have my efforts contribute to a public good like OSM rather than feeding data to Google, which seems to be the default these days.
If anyone from OSM is listening, it would be great to have a way to flag malicious uses of captchas, like in phishing attempts. The existing captcha platforms make this very hard.
fragebogen
Fun and potentially useful project, love it! When I tried it though, it was quite often hard to see whether the bounding box is "really" correct, as it hides what's underneath. Maybe some slight opaqueness could help.
Also, my first image had no bounding box at all. Being met by "Swipe right if the red shape is correctly outlining a building. If not swipe left", it felt like the wording or the UX could be improved by filtering for images that are guaranteed to have such a box.
szundi
Most demotivated sloppy contributors coming
Eduard
playing with the demo at https://maptcha.crown-shy.com/ , I had problems recognizing the outlines, as they often were colored similar to their structure (low contrast). Some examples I couldn't find any outline at all.
Also, seeing a rectangular outlined thing from above, it's often impossible to tell if it qualifies as a building.
Kralxxx_666
[flagged]
smashah
What's stopping this work from being used to oppress people?
glaucon
As I said elsewhere I applaud the idea, a couple of comments.
1. On Firefox on Ubuntu the text is _far_ too faint, to the extent the initial text is essentially unreadable.
2. I was getting brown coloured areas surrounded by a slightly different brown colour. The outlined area could have been a roof or just some slight change in l and colour. I understand this is why help is needed to classify them but it felt wrong clicking either "Correct" or "Incorrect" … maybe with enough input it doesn't matter ? Not sure.