Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed?

Image-based methods for species identification offer cost-efficient solutions for biomonitoring. This is particularly relevant for invertebrate studies, where bulk samples often represent insurmountable workloads for sorting, identifying, and counting individual specimens. On the other hand, image-b...

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Detalles Bibliográficos
Autores principales: Høye, Toke T., Dyrmann, Mads, Kjær, Christian, Nielsen, Johnny, Bruus, Marianne, Mielec, Cecilie L., Vesterdal, Maria S., Bjerge, Kim, Madsen, Sigurd A., Jeppesen, Mads R., Melvad, Claus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Biodiversity
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415355/
https://www.ncbi.nlm.nih.gov/pubmed/36032940
http://dx.doi.org/10.7717/peerj.13837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415355/
https://www.ncbi.nlm.nih.gov/pubmed/36032940
http://dx.doi.org/10.7717/peerj.13837

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