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Google Unveils Neural Network With Ability To Determine Location of Any Image (technologyreview.com)

Posted by BeauHD on from the neural-networking dept.

schwit1 writes: 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. If the image shows a famous building or landmark, such as the Eiffel Tower or Niagara Falls, the task is straightforward. But the job becomes significantly harder when the image lacks specific location cues or is taken indoors or shows a pet or food or some other detail. Nevertheless, humans are surprisingly good at this task. To help, they bring to bear all kinds of knowledge about the world such as the type and language of signs on display, the types of vegetation, architectural styles, the direction of traffic, and so on. Humans spend a lifetime picking up these kinds of geolocation cues. So it's easy to think that machines would struggle with this task. And indeed, they have. Today, that changes thanks to the work of Tobias Weyand, a computer vision specialist at Google, and a couple of pals. These guys have trained a deep-learning machine to work out the location of almost any photo using only the pixels it contains.

5 of 116 comments (clear)

  1. Can it figure out where goatse was taken? by Anonymous Coward · · Score: 4, Insightful

    Can it figure out where the notorious goatse photo was taken?

    1. Re: Can it figure out where goatse was taken? by johnsnails · · Score: 3, Funny

      Not where bit it can determine it was taken after the London 2012 Olympics as it depics one of the finalist logos. https://encrypted-tbn1.gstatic...

  2. Try it yourself by mobby_6kl · · Score: 4, Interesting

    Well the "Guess the location" thing, not the NN :)

    There's a site that basically opens StreetView at random around the world and asks you to place it on the world map. As the summary explains, you can use a number of clues to generally place photos surprisingly accurately. Used to play this occasionally at work, we really liked that it challenged you to think about all these things that you know about the countries and regions around the world.

    https://geoguessr.com/

  3. Almost any photo = 10.1% by ebcdic · · Score: 4, Informative

    According to the article, it can identify 10.1% of the Flickr images it was tested on at "city-level" accuracy.

  4. Artists can sense location by the quality of light by dsmatthews9379 · · Score: 4, Interesting

    Perhaps not all of them but it is a thing many talk about, that different locations have a distinct quality to the natural light there. Not just location either, but seasonal variation too. It would not surprise me if the NN was also sensitive to these clues. Which makes me wonder can Weyand el al get their NN to tell them additional things about the image such as time of day and day of year, perhaps even in some cases actual year because it can cross reference images in the same location with known dates against an image that it has geo-located and know what the weather (lighting conditions) were for that point in time near that location.