iMagine D4.4 Best Practices and Guideline Updated for Developers and Providers of AI-based Image Analytics Services
iMagine is a 36-month-long project to serve aquatic researchers with a portfolio of ‘free at point of use’ image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI). The iMagine services are built on top of the AI4OS Platform that allows transparent training, sharing, and serving of Machine learning (ML) and Deep Learning (DL) applications. This document is an update to the original D4.1 document created at the beginning of the project, providing good practice usage guides and pointers to documentation relating to the baseline technology of the iMagine AI platform.
Institutions
- Karlsruhe Institute of Technology (DE)
- Instituto de Química Orgánica General (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-03
- DOI
- https://doi.org/10.5281/zenodo.14961558
- Primary Topic
- Geological and Tectonic Studies in Latin America
- Type
- article
- Field-Weighted Citation Impact
- 0.00