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Pre-trained model and learning set for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10): Dasysyrphus
Citable as data publication
Mortelmans, J.; Decrop, W.; Muñiz, C.; Deneudt, K.; Flanders Marine Institute (VLIZ): Belgium; (2026): Pre-trained model and learning set for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10): Dasysyrphus. Marine Data Archive. https://doi.org/10.14284/802
Contact:
Mortelmans, Jonas Availability:
 This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description
The pre-trained Plankton Imager (Pi-10) Convolutional Neural Network (CNN) models provide a ready-to-use deep learning solution for automated zooplankton image classification. Built upon the FlowCam phytoplankton classifier developed by VLIZ within the iMagine project, the Pi-10 pre-trained models efficiently recognize and categorize planktonic organisms from Pi-10 images, with a focus on the Southern North Sea. The current datasets holds the model ‘Dasysyrphus’ Scope Themes: Biology > Plankton, Biology > Plankton > Phytoplankton, Biology > Plankton > Zooplankton Keywords: Image classification · Modelling · North Sea · Southern Bight Contributors
Vlaams Instituut voor de Zee (VLIZ), more, data creator, data collector, data manager
Related datasets
Parent dataset: Pre-trained models and learning sets for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10), more Other relation: Pre-trained model and learning set for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10): Anasimyia, more Project
LifeWatch: Flemish contribution to LifeWatch.eu, more
Funding FWO International research infrastructure
Grant agreement ID I002021N
Dataset status: Completed
Data type: Software/models/scripts
Data origin: Monitoring: field survey
Metadatarecord created: 2026-05-22
Information last updated: 2026-06-08
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