2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals
Paul Fergus, Philip Stephens, Russell A. Hill +8
Camera traps have become a cornerstone of biodiversity monitoring, but the artificial intelligence that turns vast quantities of images into usable ecological data is often locked…
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data
Paul Fergus, Carl Chalmers, Naomi Matthews +7
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful con…
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning
Carl Chalmers, Paul Fergus, Serge Wich +7
Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in…