3 ms·

It's so good, it guesses the correct continent less than 50% of the time. I bet it even gets the correct planet 100% of the time :)

• Houshalter 11y ago
  The median error is 1100 km. Which is better than that. But I agree with you that this is nothing to worry about. I skimmed through the paper and thought "wow that's really interesting it can beat humans and get results that good", but it's not so good that it's a significant leak of privacy. Like the top comments seem to be scared about. The dataset might be a little biased though. I wonder how many pictures are just of people's faces, or food, or random indoor scenes. It's much more difficult to detect a location from such an image. How good are the results if you exclude the images that don't have any clues at all? As I understand it, the algorithm can identify common types of plants unique to different regions, or architectural features, or popularity of types of cars. So an outdoor photo is more likely to be recognized. But I'm not 100% sure what features it's using. In fact the creators don't even know!