The Herbarium 2021 Half–Earth Challenge Dataset and Machine Learning Competition

Herbarium sheets present a unique view of the world's botanical history, evolution, and biodiversity. This makes them an all–important data source for botanical research. With the increased digitization of herbaria worldwide and advances in the domain of fine–grained visual classification which...

Descripción completa

Detalles Bibliográficos
Autores principales: de Lutio, Riccardo, Park, John Y., Watson, Kimberly A., D'Aronco, Stefano, Wegner, Jan D., Wieringa, Jan J., Tulig, Melissa, Pyle, Richard L., Gallaher, Timothy J., Brown, Gillian, Guymer, Gordon, Franks, Andrew, Ranatunga, Dhahara, Baba, Yumiko, Belongie, Serge J., Michelangeli, Fabián A., Ambrose, Barbara A., Little, Damon P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846375/
https://www.ncbi.nlm.nih.gov/pubmed/35178056
http://dx.doi.org/10.3389/fpls.2021.787127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846375/
https://www.ncbi.nlm.nih.gov/pubmed/35178056
http://dx.doi.org/10.3389/fpls.2021.787127

Ejemplares similares