Google Maps meets AI: Carnegie Mellon’s Terrapattern can find and map every pool in New York City

Selection of pools in New York City area Image: screenshot, Terrapattern.com A group of students and professors at Carnegie Mellon recently unveiled an AI tool that scans satellite photos and matches the images to similar-looking locations in the nearby geographic area. While image recognition using AI is nothing new—machine learning techniques are frequently used to identify, classify, and categorize objects, and even faces, from pools of millions of photos—the new tool called Terrapattern offers something unique: The ability to pinpoint the GPS coordinates of similar landmarks. So, how does it work? You simply click part of a Google map, (currently, you can choose between New York City, San Francisco, Pittsburgh, and Detroit—presumably, it isn’t too difficult to add new cities to the list), and the program spits out every other…


Link to Full Article: Google Maps meets AI: Carnegie Mellon’s Terrapattern can find and map every pool in New York City

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