3 papers
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…
cs.CV2024
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
Mikko Impiö, Jenni Raitoharju
Image-based species identification could help scaling biodiversity monitoring to a global scale. Many challenges still need to be solved in order to implement these systems in real…