3 papers
cs.CV2026
Computer vision-based estimation of invertebrate biomass
Mikko Impiö, Philipp M. Rehsen, Jarrett Blair +5
The ability to estimate invertebrate biomass using only images could help scaling up quantitative biodiversity monitoring efforts. Computer vision-based methods have the potential…
cs.CV2025
AquaMonitor: A multimodal multi-view image sequence dataset for real-life aquatic invertebrate biodiversity monitoring
Mikko Impiö, Philipp M. Rehsen, Tiina Laamanen +3
This paper presents the AquaMonitor dataset, the first large computer vision dataset of aquatic invertebrates collected during routine environmental monitoring. While several large…
cs.CV2024
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison
Mikko Impiö, Philipp M. Rehsen, Jenni Raitoharju
The amount of image datasets collected for environmental monitoring purposes has increased in the past years as computer vision assisted methods have gained interest. Computer visi…