Oregon State University scientists have improved artificial intelligence’s ability to identify wildlife species in photos taken by motion-activated cameras.
Their study, which introduces a less-is-more approach to the data on which an AI model is trained, opens the door to wildlife image analysis that’s more accurate and also more cost effective.
Motion-activated cameras are an important wildlife monitoring tool, but reviewing thousands of images manually can be prohibitively time consuming, and current AI models are at times too inaccurate to be useful for scientists and wildlife managers…