We tested how well two modern deep learning models could detect and classify moose and deer in thermal drone footage, across multiple independent survey dates. The best performing model correctly identified 75% of its detections and found 62% of all moose and deer. Human verification is still necessary, but the model can be used as an initial filtering tool to assist manual re-view of drone footage.
