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iMagine: A Cutting-Edge AI-Platform for Aquatic Sciences

Alibabaei, Khadijeh ORCID iD icon 1; Sipos, Gergely; Schaap, Dick; López-García, A.; Kozlov, V. ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

Image analysis in aquatic science deals with large amounts of unlabeled data and a high diversity of data types. The data is rapidly increasing and is captured in changing environments. To advance image analytics and increase research performance, a dedicated iMagine AI framework and platform is established, operated, and validated. The platform is connected to EOSC and AI4EU, giving researchers in aquatic sciences open access to a diverse portfolio of AI-based image analysis services and image repositories from multiple RIs, working on and of relevance to the overarching theme of ‘Healthy oceans, seas, coastal and inland waters’.


Volltext §
DOI: 10.5445/IR/1000171687
Veröffentlicht am 17.06.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regionalwissenschaft (IFR)
Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsdatum 13.05.2024
Sprache Englisch
Identifikator KITopen-ID: 1000171687
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Veranstaltung ISC High Performance (2024), Hamburg, Deutschland, 12.05.2024 – 16.05.2024
Projektinformation iMagine (EU, EU 9. RP, 101058625)
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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