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Computer vision for assessing species color pattern variation from web-based community science images

Openly available community science digital vouchers provide a wealth of data to study phenotypic change across space and time. However, extracting phenotypic data from these resources requires significant human effort. Here, we demonstrate a workflow and computer vision model for automatically categ...

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Detalles Bibliográficos
Autores principales: Hantak, Maggie M., Guralnick, Robert P., Zare, Alina, Stucky, Brian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379571/
https://www.ncbi.nlm.nih.gov/pubmed/35982791
http://dx.doi.org/10.1016/j.isci.2022.104784

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