Cargando…
Deep learning increases the availability of organism photographs taken by citizens in citizen science programs
Citizen science programs using organism photographs have become popular, but there are two problems related to photographs. One problem is the low quality of photographs. It is laborious to identify species in photographs taken outdoors because they are out of focus, partially invisible, or under di...
Autores principales: | Suzuki-Ohno, Yukari, Westfechtel, Thomas, Yokoyama, Jun, Ohno, Kazunori, Nakashizuka, Tohru, Kawata, Masakado, Okatani, Takayuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786926/ https://www.ncbi.nlm.nih.gov/pubmed/35075168 http://dx.doi.org/10.1038/s41598-022-05163-5 |
Ejemplares similares
-
Utilization of photographs taken by citizens for estimating bumblebee distributions
por: Suzuki-Ohno, Yukari, et al.
Publicado: (2017) -
Estimating possible bumblebee range shifts in response to climate and land cover changes
por: Suzuki-Ohno, Yukari, et al.
Publicado: (2020) -
Recognizability bias in citizen science photographs
por: Koch, Wouter, et al.
Publicado: (2023) -
Deep learning and citizen science enable automated plant trait predictions from photographs
por: Schiller, Christopher, et al.
Publicado: (2021) -
Citizen Science: Benefitting Science and Citizens
por: Land-Zandstra, Anne
Publicado: (2018)