Menu
Google Unveils Neural Network with “Superhuman” Ability to Determine the Location of Almost Any Image
By Emerging Technology from the arXiv, MIT Technology Review, March 20, 2016
This post has been viewed 2,477 times.
This post has been viewed 2,477 times.
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.
Their approach is straightforward, at least in the world of machine learning. Weyand and co begin by dividing the world into a grid consisting of over 26,000 squares of varying size that depend on the number of images taken in that location.
Read original articleTags:
