Going beyond digital parlor trick FAIR (Facebook’s Artificial Intelligence Research) Lab intends to make the machine version more useful. Helping machines spot each individual detail in a photo and understand where it sites in relation to everything else is the real challenge, not just recognize a dog or table or camera said Piotr Dollar the FAIR scientist. To do that his team has built a tool. To develop more erudite machine vision system these tools provide the building blocks. Eventually, the finished software can describe a photograph to a visually impaired user. In order to display the fine-grained precision images in the real world, these tools can be used.
Facebook has made these tools Open Source for any developer to play with these codes and develop them according to their own project. To isolate individual objects FAIR tools are not the only ones in competition. Some other are self-driving cars who keeps tabs on the location of the car and pedestrians around them and Microsoft’s Kinect track the hand and face position. These systems rely on the depth sensors to help isolate images explained Dollar. FAIR’s software can work from two-dimensional images. It creates a better outline of the image it sees instead of simply putting a square box around it. This procedure will make the Facebook AI capable enough to see tiny details in the photo as well as determine the smallest object in an image from the largest one.