> And I doubt it is that easy, because smart people, at a.o. HOT OSM, have been building exactly this: tools to automatically categorize, detect, rate etc, mapping data from satellite imagery. Not to bypass a CAPTCHA, but to make editing and improving OSM data easier.
I apologise if I caused any offence. I certainly didn’t intend to.
I claimed building a bot to bypass the captcha was trivial. For a captcha to be bypassed, it needs only perform better than a human doing the same task on average. Because humans make mistakes captchas also require a margin of error.
A bypass bot does not need to be able to annotate all buildings on the earth perfectly.
OSMs problem is that not that ML cannot do solve problem but rather they would like the result to be close to perfect and apply it on scale to the entire earth. This is a harder problem than detecting errors in a handful of images.
There is a lot of academic literature on the subject of “building footprint extraction” if you are interested:
I apologise if I caused any offence. I certainly didn’t intend to.
I claimed building a bot to bypass the captcha was trivial. For a captcha to be bypassed, it needs only perform better than a human doing the same task on average. Because humans make mistakes captchas also require a margin of error.
A bypass bot does not need to be able to annotate all buildings on the earth perfectly.
OSMs problem is that not that ML cannot do solve problem but rather they would like the result to be close to perfect and apply it on scale to the entire earth. This is a harder problem than detecting errors in a handful of images.
There is a lot of academic literature on the subject of “building footprint extraction” if you are interested:
https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=buil...