Tracking Animals: The Footprints of Science

This chapter delves into the significance of animal footprints in wildlife conservation and ecological studies, highlighting the public's growing interest in tracking local wildlife. It discusses a machine learning project aimed at classifying and detecting animal tracks using computer vision techniques, addressing model performance and challenges such as misclassifications. Additionally, the chapter explores a project focused on identifying individual animals by their faces, comparing this to traditional methods and introducing innovative techniques like attention maps.