A real‐world dataset and data simulation algorithm for automated fish species identification

Abstract Developing high‐performing machine learning algorithms requires large amounts of annotated data. Manual annotation of data is labour‐intensive, and the cost and effort needed are an important obstacle to the development and deployment of automated analysis. In a previous work, we have shown...

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Auteurs principaux: Vaneeda Allken, Shale Rosen, Nils Olav Handegard, Ketil Malde
Format: article
Langue:EN
Publié: Wiley 2021
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Accès en ligne:https://doaj.org/article/4ee5074aad3e440d80135a3951387236
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