Facebook is recognizing better the content of images

Facebook became better in recognizing the content in the photos. They use a better artificial intelligence image-identification software. This makes possible to search Facebook for photos based on what's in them, rather than just by date taken, tags, or location. The upgrade will improve Facebook's automatic alt text feature, which describes photos aloud to the visually impaired.

So Facebook will be able to tell users the specific action that's occurring in a scene, like "this is a picture of a person playing guitar on stage." The computer vision engine is called Lumos. Lumos relies on a form of computer science known as "neural networks," which aim to mimic the behavior of the human brain. Neural networks can be trained to recognize specific pieces of information. They even imagined the possibility to train networks of a depth that have never been trained before. Neural networks may be able to process billions of images at lightning-fast speeds but the difficulty is in the recognizing content process to offer the maximum information possible. "I think it's going to be even more exciting as we keep making progress on what we call semantic segmentation, or a semantic understanding of images," said Joaquin Candela, director of Facebook's Applied Machine Learning team.