Result description
Dive into the depths of ocean exploration with EMSO. Uncover the mysteries beneath the waves through cutting-edge technology and Artificial Intelligence. Seamlessly navigate underwater videos, harness AI for biota identification, and contribute to vital biodiversity and ecosystem studies. Join us in unravelling the secrets of our oceans.
The European Multidisciplinary Seafloor and Water Column Observatory (EMSO) aims to explore the oceans, better understand the phenomena happening within and below them, and explain the critical role that these phenomena play in the broader Earth systems. Several of the EMSO sites capture underwater videos. The Marine Ecosystem Monitoring system has developed standards for managing and storing video imagery, and annotated images have been developed. EMSO workflow has been set up in the iMagine-AI platform using Artificial Intelligence (AI) for the preselection of interesting images and AI analysis of selected images for the identification of biota. Documentation and guidance about standard data management practices and for using the AI analysis pipelines for biota classification have also been developed. Essential Ocean Variables (EOVs) available from the EMSO sites, along with the annotated imagery, will contribute towards biodiversity and ecosystem studies.
Addressing target audiences and expressing needs
- Grants and Subsidies
- Use of research Infrastructure
- Collaboration
More accessible centralised databases of annotated images or machine learning-ready data are needed to improve efficiency in model development and to increase model performance. Access to Funding will allow us to further develop the model.
- Public or private funding institutions
- EU and Member State Policy-makers
- Academia/ Universities
R&D, Technology and Innovation aspects
The services are available for use.
The developed pipeline will be installable on the iMagine platform or on other hosted solutions or on personal computers, hence enabling deployment at various scales.
All components are open source, the results are traceable, the methodology is described in open access publication and provenance metadata will be provided to replicate the results.
The developed pipeline will be installable on the iMagine platform or on other hosted solutions or on personal computers, hence enabling deployment at various scales.
Result submitted to Horizon Results Platform by EUROPEAN MULTIDISCIPLINARY SEAFLOORAND WATER COLUMN OBSERVATORY – EUROPEAN RESEARCH INFRASTRUCTURE CONSORTIUM (EMSO ERIC)
