Google Unveils Neural Network with “Superhuman” Ability to Determine the Location of Almost Any Image

Guessing the location of a randomly chosen Street View image is hard, even for well-traveled humans. But Google’s latest artificial-intelligence machine manages it with relative ease.

CLICK HERE - PlaNet - Photo Geolocation with Convolutional Neural Networks

CLICK HERE - GeoGuessr

technologyreview.com - by Emerging Technology from the arXiv - February 24, 2016

Here’s a tricky task. Pick a photograph from the Web at random. Now try to work out where it was taken using only the image itself. . . .

. . . Tobias Weyand, a computer vision specialist at Google, and a couple of pals . . . have trained a deep-learning machine to work out the location of almost any photo using only the pixels it contains.

Their new machine significantly outperforms humans and can even use a clever trick to determine the location of indoor images and pictures of specific things such as pets, food, and so on that have no location cues.

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