Deep Belief Networks at Heart of NASA Image Classification

Re:Deep Belief Networks at Heart of NASA Image Classification by bainsfather on Tuesday September 22, 2015 @05:33AM (#10257550)

I was wondering about this also, especially for the case of Humanitarian OpenStreetMap where they map e.g. West Africa and allow you to map without visiting the area (normally not allowed on OSM). The maps can so sparse before we map a region, that any 'AI' would not have to be perfect - it would anyway be a vast improvement on what already exists.

Maybe a good option would be a mapping tool for humans, that traced e.g. a building and then said to the user 'I think this is a building, press Yes to accept'. That would speed up my mapping times by maybe a factor of 5, especially once I got comfortable with the AI being reliable, and could click Yes after just a cursory check.

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Re:Deep Belief Networks at Heart of NASA Image Classification by darkmighty on Tuesday September 22, 2015 @11:01AM (#10258998)

Right, human assist would probably be needed for final verification and unfortunately it's impossible to correctly name the streets (unless everywhere were like Manhattan); number might be doable.

It just seems like a perfect fit for Deep Convolutional neural nets.

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