25 August 2016, India :
Facebook today is announcing that it’s open-sourcing some of its latest artificial intelligence (A.I.) software for segmenting objects within images. The DeepMask, SharpMask, and MultiPathNet tools are available now on GitHub under a BSD license.
“We’re making the code for DeepMask+SharpMask as well as MultiPathNet — along with our research papers and demos related to them — open and accessible to all, with the hope that they’ll help rapidly advance the field of machine vision,” Facebook research scientist Piotr Dollar wrote in a blog post.
There are essentially three sets of code that Facebook is putting on GitHub today. They’re called DeepMask, SharpMask and MultiPathNet: DeepMask figures out if there’s an object in the image, SharpMask delineates those objects and MultiPathNet attempts to identify what they are. Combined, they make up a visual-recognition system that Facebook says is able to understand images at the pixel level, a surprisingly complex task for machines.
“Our whole goal is to get at all the pixels, to get at all the information in the image,” he says. “It’s still sort of a first step in the grand scheme of computer vision and having a visual recognition system that’s on par with the human visual system. We’re starting to move in that direction.”
Source & Images : Facebook blog