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Pre-trained model for classification of zooplankton collected by "Mooring Dirigibile Italia" sediment trap collected by the ZooScan
Citatie
Contact:
Mortelmans, Jonas Beschikbaarheid:
 Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.Beschrijving
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 Bijdrage door
Vlaams Instituut voor de Zee (VLIZ), meer, data creator, data beheerder, data eigenaar
Università Ca’ Foscari, meer, data leverancier
Italian National Research Council; Istituto di Ricerca sugli Ecosistemi Terrestri - Sede di Firenze (IRET), meer, data leverancier
Italian National Research Council; Institute of Polar Sciences (ISP), meer, data leverancier
Gerelateerde datasets
Andere relatie: phdBerra: PhD thesis Berra, G.: Composition and morpho-functional traits of zooplankton collected by "Mooring Dirigibile Italia" sediment trap: zooplankton observations from sediment traps (2010-2023) in Svalbard Islands (ZooScan), meer Dataset status: Afgelopen
Data type: Software
Data oorsprong: Onderzoek: labo-experiment
Metadatarecord aangemaakt: 2026-01-30
Informatie laatst gewijzigd: 2026-01-30
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