KIT | KIT-Bibliothek | Impressum | Datenschutz

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’.

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)

Volltext §
DOI: 10.5445/IR/1000171687
Veröffentlicht am 17.06.2024
Seitenaufrufe: 45
seit 17.06.2024
Downloads: 11
seit 19.06.2024
Cover der Publikation
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page