iMagine D3.4 Best practices for producers and providers of image sets and image analysis applications in aquatic sciences
iMagine is a European project to serve aquatic researchers with a suite of high-performance image analysis tools equipped with artificial intelligence. To effectively achieve the objectives of the project, eight use cases in different areas of aquatic science are collaborating with the providers of the iMagine AI platform. This collaboration has yielded valuable insights and practical knowledge. In this deliverable, we delve into the details of the best AI-based solutions for image processing in aquatic science, drawing on the extensive experience and knowledge we have gained over the course of the iMagine project. We thoroughly review the methods and tools used in the initial phase of data labelling, in the subsequent phases of model training and in the final deployment of the model as a service.
Institutions
- Karlsruhe Institute of Technology (DE)
- Flanders Marine Institute (BE)
- Ifremer (FR)
- University of Trento (IT)
- German Research Centre for Artificial Intelligence (DE)
- Sorbonne Université (FR)
- Instituto Español de Oceanografía (ES)
- CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT)
- Balearic Islands Coastal Observing and Forecasting System (ES)
- Marine Institute (IE)
- Laboratoire Médiations (FR)
- Universitat Politècnica de València (ES)
- Université de Lorraine (FR)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-01
- DOI
- https://doi.org/10.5281/zenodo.14893997
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00