A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

Understanding long-term trends in marine ecosystems requires accurate and repeatable counts of fishes and other aquatic organisms on spatial and temporal scales that are difficult or impossible to achieve with diver-based surveys. Long-term, spatially distributed cameras, like those used in terrestr...

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Detalles Bibliográficos
Autores principales: Bilodeau, Stephanie M., Schwartz, Austin W. H., Xu, Binfeng, Paúl Pauca, V., Silman, Miles R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809566/
https://www.ncbi.nlm.nih.gov/pubmed/35108340
http://dx.doi.org/10.1371/journal.pone.0263377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809566/
https://www.ncbi.nlm.nih.gov/pubmed/35108340
http://dx.doi.org/10.1371/journal.pone.0263377

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