![\"Creative](\"https://www.marinespecies.org/aphia/images/cc/by.png\")
The pre-trained ZooScan Convolutional Neural Network (CNN) model provides 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, this ZooScan pre-trained models efficiently recognize and categorize planktonic organisms from ZooScan images. The samples were collected by \"Mooring Dirigibile Italia\" sediment traps (2010-2023) in Svalbard Islands (ZooScan).
The model is built upon https://www.vliz.be/nl/imis?module=dataset&dasid=8986
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