Classifying Cat Pictures Could Lead To Smarter Computers
The million-plus images of the Snapshot Serengeti project could provide robust training for computers learning to recognize objects.By Evan Thomas | June 11, 2015
These aren’t just safari photos. The million-plus images of the Snapshot Serengeti project could be a significant boon to both conservationists and the scientists training our computers to recognize the abstract makeup of images: to know that’s a cheetah or those are giraffe knees.
The project started in 2010 when then-doctoral student Alexandra Swanson set up 225 automated cameras in a rough grid to capture wildlife moving around in Serengeti National Park in Tanzania.
In 2012, some of the cameras' collected images — about 300,000 shots of local wildlife — went online so people could help identify the subjects.