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Training instance segmentation neural network with synthetic datasets for crop seed phenotyping
In order to train the neural network for plant phenotyping, a sufficient amount of training data must be prepared, which requires time-consuming manual data annotation process that often becomes the limiting step. Here, we show that an instance segmentation neural network aimed to phenotype the barl...
Uloženo v:
| Vydáno v: | Commun Biol |
|---|---|
| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7160130/ https://ncbi.nlm.nih.gov/pubmed/32296118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-020-0905-5 |
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