Pre-trained model for classification of zooplankton collected by "Mooring Dirigibile Italia" sediment trap collected by the ZooScan
Citation
Contact:
Mortelmans, Jonas Availability:
 This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description
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 Contributors
Vlaams Instituut voor de Zee (VLIZ), more, data creator, data manager, data owner
Università Ca’ Foscari, more, data provider
Italian National Research Council; Istituto di Ricerca sugli Ecosistemi Terrestri - Sede di Firenze (IRET), more, data provider
Italian National Research Council; Institute of Polar Sciences (ISP), more, data provider
Related datasets
Other relation: 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), more Dataset status: Completed
Data type: Software/models/scripts
Data origin: Research: lab experiment
Metadatarecord created: 2026-01-30
Information last updated: 2026-01-30
| ||||
