Tips for AI-based image processing
Based on the experience matured by the iMagine use cases over the last year, this page offers an overview of the possible AI tools to be used for image processing in aquatic science.
The tips refer to four areas: annotation tools to suitable AI models, experiment tracking tools, and overcoming challenges such as model drift. In the following, you will find an overview of the tools used. More details and insights are available in the iMagine AI platform documentation.