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Sunday, February 28, 2016

Google Neural Network Determines Image Location

A superhuman capability?  Certainly in volume of recollection. Applications? Retail product location?   Advertising analysis when linked to neural or behavioral clues?

In Technology Review: 
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. ... 

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. 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. ... " 

At the link you can try your hand at this with an online version.

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