RAPID re-identification of patterned animals

Post provided by András Zábó Just imagine… You’re all sitting excitedly around the monitor, watching the video captured by the drone. This is the first time you’ve tested the complete monitoring system in the national park… Your drones had already been capable of autonomously finding, detecting, and tracking zebras, but you had never flown drones that were also capable of identifying individual zebras… And both … Continue reading RAPID re-identification of patterned animals

Kal Backman: Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys

Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Kal Backman’s article ‘Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys‘ is one of those shortlisted for the award. About … Continue reading Kal Backman: Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys