Browsing Samuel Ginn College of Engineering by Subject "deep neural networks"
Now showing items 1-1 of 1
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
Having accurate, detailed, and up-to-date information about the location and behavior of animals in the wild would improve our ability to study and conserve ecosystems. We investigate the ability to automatically, accurately, ...