Google Outlines AI-Based Number Reading For Street View Photos
mikejuk writes "A recent Google research paper outlines how it might use AI to read digits in natural images — specifically Street View photos. The idea is to automatically extract the number of each house as captured by Street View and then use this to improve the geocoding data returned by Google. When you next ask for directions to a particular address the new data could be used to show you a street view looking directly at the house you specified."
does it crash?
I've poked around the US Census data which has geographical coordinates of pretty much everything you can imagine - streets, natural landmarks, including addresses.
How does most mapping software get its dataset? Why does Google need to find street numbers from the photos? (Probably because a public dataset like this isn't available globally) I imagine that Census data is a free alternative but professional geolocation data requires big fees.
http://www.census.gov/geo/www/tiger/
If it can read a digit in a pattern then capchta just became useless as a way of keeping bots out of a website
It's clear now.
I've been wondering when they'd make that work.
In retail areas, street numbers tend not to be too prominent. It may be necessary to read business signs and use that data to disambiguate addresses. This would help to clean up the phony-business problem in Google Places. An alternative is to use real estate records, as the USC Geocoder does for some areas, to get a solid lock on address vs. physical position. But that data is only available for some areas. There are also the Census Bureau's TIGER/LINE files, but they're US only and not complete for the entire US.
Outside the US, this is likely to be more useful. If you have a few street numbers and a few business signs per block, you can infer the rest reasonably accurately.
http://cache.gawkerassets.com/assets/images/4/2011/11/8ca4aa827c1151851324895f5ffb778b.jpg
It's interesting to note that one of the co author is also the teacher for stanford free classe on Machine Learning and that the last lesson of the course was on this topic...
n/t