On 26.05.2016 17:40, Blake Girardot HOT/OSM wrote: > This discussion leads to a lot of potential ideas. > > they mention OSM in text, but it was not clear to me how OSM data was involved.
"We trained a 34-layer DCNN using hundreds of thousands of satellite images labeled in OpenStreetMap, teaching the neural network to predict the category of a place from a satellite photo." the osm data was just to connect the image to actual data, so their software could learn how an airport normally looks like (sorry, I sent email not to list by mistake)
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