Challenges for the computer vision community

Abstract

Computer vision (CV) is rapidly advancing as a tool to make conservation science more efficient, for example, by accelerating the annotation of images from camera traps and aerial surveys. However, before CV can become a widely used approach, several core technology challenges need to be addressed by the CV community. Taking into consideration several case studies in CV where tremendous progress has been made since the emergence of deep learning, this chapter will introduce core concepts in CV, survey several areas where CV is already contributing to conservation, and outline key challenges for the CV community that will facilitate the adoption of CV in mainstream conservation practice.