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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...
Autores principales: | Hantak, Maggie M., Guralnick, Robert P., Zare, Alina, Stucky, Brian J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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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