iMagine Best Practices published on Ecological Informatics

Based on iMagine's D3.4 Best practices for producers and providers of image sets and image analysis applications in aquatic sciences, the iMagine Competence Centre team recently published the paper Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study in Elsevier's journal Ecological Informatics.

This paper summarises the key lessons and best practices learned in the iMagine project through the full process of AI-based aquatic image analysis, from data preparation and annotation to model deployment and evaluation. The paper, therefore, helps aquatic scientists advance their AI-driven image analysis approaches.

The paper is open access, and you can read it here.