2 papers
cs.CV2024★ 8 cited
Deep learning-based ecological analysis of camera trap images is impacted by training data quality and quantity
Peggy A. Bevan, Omiros Pantazis, Holly Pringle +10
Large image collections generated from camera traps offer valuable insights into species richness, occupancy, and activity patterns, significantly aiding biodiversity monitoring. H…
cs.SD2023★ 1 cited
Whombat: An open-source annotation tool for machine learning development in bioacoustics
Santiago Martinez Balvanera, Oisin Mac Aodha, Matthew J. Weldy +3
1. Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts. The use of ML for high-stake…