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AI vision can determine why neighborhoods thrive
It's relatively easy to figure out whether or not a neighborhood is doing well at one moment in time. More often than not, you just have to look around. But how do you measure the progress (or deterioration) a neighborhood makes? That's where AI might help. Researchers have built a computer vision system that can determine the rate of improvement or decay in a given urban area. The team taught a machine learning system to compare 1.6 million pairs of photos (each taken several years apart) from Google Street View to look for signs of change on a pixel-by-pixel, object-by-object basis. If there are more green spaces or key building types in the newer shot, for instance, that's a sign that an area is on the up-and-up.
