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iMagine D4.1 : Best practices and guideline for developers and providers of AI-based image analytics services

Heredia, Ignacio; Kozlov, Valentin ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

iMagine is a 36-month-long project to serve aquatic researchers with a portfolio of ‘free at point of use’ image datasets and high-performance image analysis tools empowered with Artificial Intelligence (AI). The iMagine services will build on an AI Platform that will be established by Q1 2023 and will allow transparent training, sharing, and serving of Machine learning (ML) and Deep Learning (DL) applications. This document provides good practice usage guides and pointers to documentation relating to the baseline technology of the iMagine AI platform, the DEEP-Hybrid-DataCloud services that have been developed and used in various EC initiatives in the past years. A more mature version of this document will be issued towards the end of the project.


Volltext §
DOI: 10.5445/IR/1000167993
Veröffentlicht am 02.02.2024
Originalveröffentlichung
DOI: 10.5281/zenodo.7372358
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000167993
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Verlag Zenodo
Umfang 11 S.
Projektinformation iMagine (EU, EU 9. RP, 101058625)
Externe Relationen Siehe auch
Schlagwörter Aquatic science, iMagine, AI platform, best practices
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