Pre-trained models and learning set for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10)

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Authors: Jonas Mortelmans, Decrop Wout, Carlota Muñiz, Klaas Deneudt, Belgium Flanders Marine Institute (VLIZ)
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Abstract

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 ‘Anasimyia’

Fields of Study & Subjects

Advanced Neural Network Applications Cell Image Analysis Techniques Domain Adaptation and Few-Shot Learning

Publication details

Journal / source
Flanders Marine Institute (Flanders Marine Institute)
Publication date
1 January 2026
Language
EN
Document type
Dataset