The goal with all of this is to compare whether synthetic "animation" of specimen images increases the ability of a Machine Learning model to recognize/identify live specimens in photos taken in the field by a deployed camera system.
1) Creating a training dataset using preserved specimens, software manipulation of specimen images, and after effects. 2) Developing Machine Learning algorithm 3) Carrying out statistical analysis on the results
Requirements and/or Application Instructions
Experience with machine learning, natural history collections, and imaging software. Contact Chris Evelyn, firstname.lastname@example.org