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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-07-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC6085066?pdf=render |