Portrait de Anna Viklund

Anna Viklund

Collaborateur·rice de recherche
Superviseur⋅e principal⋅e
David Rolnick
Sujets de recherche
Biologie computationnelle
GitHub

Publications

A machine learning pipeline for automated insect monitoring
Aditya Jain
Fagner Cunha
M. Bunsen
L. Pasi
Anna Viklund
Maxim Larriv'ee
David Rolnick
Climate change and other anthropogenic factors have led to a catastrophic decline in insects, endangering both biodiversity and the ecosyste… (voir plus)m services on which human society depends. Data on insect abundance, however, remains woefully inadequate. Camera traps, conventionally used for monitoring terrestrial vertebrates, are now being modified for insects, especially moths. We describe a complete, open-source machine learning-based software pipeline for automated monitoring of moths via camera traps, including object detection, moth/non-moth classification, fine-grained identification of moth species, and tracking individuals. We believe that our tools, which are already in use across three continents, represent the future of massively scalable data collection in entomology.
2024-06-18
ArXiv (prépublication)
doi.org
arxiv.org
A machine learning pipeline for automated insect monitoring
Aditya Jain
Fagner Cunha
M. J. Bunsen
L. Pasi
Anna Viklund
Maxim Larrivée
David Rolnick
Climate change and other anthropogenic factors have led to a catastrophic decline in insects, endangering both biodiversity and the ecosyste… (voir plus)m services on which human society depends. Data on insect abundance, however, remains woefully inadequate. Camera traps, conventionally used for monitoring terrestrial vertebrates, are now being modified for insects, especially moths. We describe a complete, open-source machine learning-based software pipeline for automated monitoring of moths via camera traps, including object detection, moth/non-moth classification, fine-grained identification of moth species, and tracking individuals. We believe that our tools, which are already in use across three continents, represent the future of massively scalable data collection in entomology.
2024-06-01
arXiv (publié)
doi.org
arxiv.org