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iMagine, AI-supported imaging data and services for ocean and marine science

Fava, Ilaria; Lopez Garcia, Alvaro; Schaap, Dick; Krijer, Tjerk; Sipos, Gergely; Kozlov, Valentin ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Aquatic ecosystems are vital in regulating climate and providing resources, but they face threats from global change and local stressors. Understanding their dynamics is crucial for sustainable use and conservation. The iMagine AI Platform offers a suite of AI-powered image analysis tools for researchers in aquatic sciences, facilitating a better understanding of scientific phenomena and applying AI and ML for processing image data.

The platform supports the entire machine learning cycle, from model development to deployment, leveraging data from underwater platforms, webcams, microscopes, drones, and satellites, and utilising distributed resources across Europe. With a serverless architecture and DevOps approach, it enables easy sharing and deployment of AI models. Four providers within the pan-European EGI federation power the platform, offering substantial computational resources for image processing.

Five use cases focus on image analytics services, which will be available to external researchers through Virtual Access. Additionally, three new use cases are developing AI-based image processing services, and two external use cases are kickstarting through recent Open Calls. ... mehr


Originalveröffentlichung
DOI: 10.5194/egusphere-egu24-7635
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsmonat/-jahr 04.2024
Sprache Englisch
Identifikator KITopen-ID: 1000171723
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Veranstaltung European Geosciences Union General Assembly (EGU 2024), Wien, Österreich, 14.04.2024 – 19.04.2024
Projektinformation iMagine (EU, EU 9. RP, 101058625)
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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