Date: June 5, 2018
Source: University of Wyoming
A new paper in the Proceedings
of the National Academy of Sciences (PNAS) reports how a cutting-edge
artificial intelligence technique called deep learning can automatically
identify, count and describe animals in their natural habitats.
Photographs that are
automatically collected by motion-sensor cameras can then be automatically
described by deep neural networks. The result is a system that can automate
animal identification for up to 99.3 percent of images while still performing
at the same 96.6 percent accuracy rate of crowdsourced teams of human
volunteers.
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