Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning

The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. Here we explore the use of crowdsourcing to genera...

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Detalles Bibliográficos
Autores principales: Zhou, Naihui, Siegel, Zachary D., Zarecor, Scott, Lee, Nigel, Campbell, Darwin A., Andorf, Carson M., Nettleton, Dan, Lawrence-Dill, Carolyn J., Ganapathysubramanian, Baskar, Kelly, Jonathan W., Friedberg, Iddo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085066/
https://www.ncbi.nlm.nih.gov/pubmed/30059508
http://dx.doi.org/10.1371/journal.pcbi.1006337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085066/
https://www.ncbi.nlm.nih.gov/pubmed/30059508
http://dx.doi.org/10.1371/journal.pcbi.1006337

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