Detecting and Identifying Wildlife Animals From Images Using Deep Learning 6a.060.UL

Project Start Date: Jul 1, 2017
Research Areas: Analytics, Analytics - Deep Learning
Funding: Member Funded
Project Tags: ,

Project Summary

  • Wildlife scientists often collect image or video data to better understand the population sizes and distributions of important species to provide information to policymakers and stewards of natural resources.
  • In this project, we propose to demonstrate that the performance and efficiency of monitoring animals from image data can be improved using machine learning techniques such as deep neural networks.
  • The project outcome will decrease the workload of scientists who have to sift through the large amount of data to detect or identify the animals.


Principal Investigator(s)