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by shpx
3204 days ago
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https://www.technologyreview.com/s/600889/google-unveils-neu... They took 126 million geotagged images from the web, bined them into 26,000 squares, and trained a neural net to predict which square on the earth an image was taken in. That's very poor resolution, but if you see that 20 images taken around the same time are tagged as the square that contains San Francisco, you can be pretty sure they all happened during a trip to San Francisco. Reminds me of https://geoguessr.com |
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