Software

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The ReID-Wild project was initiated in 2025 as a collaborative effort led by researchers committed to advancing wildlife monitoring and conservation technologies. Bringing together a multidisciplinary team spanning computer vision, ecology, and biodiversity management, the project focuses on developing robust, scalable tools for individual stoat identification in real-world environments.

The programme leverages state-of-the-art machine learning methods and close partnerships with conservation organisations to support predator management and long-term ecological monitoring. Building on prior investment in field-camera infrastructure and ecological datasets, ReID-Wild aims to enable accurate, automated, and ethical identification of individual stoats, ultimately supporting data-driven strategies to protect vulnerable ecosystems.

The ReID-Wild project was initiated in 2025 as a collaborative effort led by