Deep Learning and Animal Populations

Deep Learning and Animal Populations
H/T Wayne Radinsky
"Using a database of 3.2 million photos taken by hidden camera traps in the Serengeti National Park in Tanzania, Jeff Clune at the University of Wyoming in Laramie and his colleagues trained the deep-learning system to distinguish between 48 animal species, such as elephants, giraffes and gazelles. In tests, it correctly identified the species present in an image 92 per cent of the time."

A system that can help biologists estimate population sizes.


Originally shared by Wayne Radinsky

"Using a database of 3.2 million photos taken by hidden camera traps in the Serengeti National Park in Tanzania, Jeff Clune at the University of Wyoming in Laramie and his colleagues trained the deep-learning system to distinguish between 48 animal species, such as elephants, giraffes and gazelles. In tests, it correctly identified the species present in an image 92 per cent of the time."

https://www.newscientist.com/article/2127541-deep-learning-tells-giraffes-from-gazelles-in-the-serengeti/