D4.1 is now available
...Best Practices for AI-based Image Processing
The best practice materials on AI-based image analysis provide an overview of practical approaches and lessons learned from real applications.
They cover key areas of work that are relevant across scientific disciplines, including:
- the use of neural networks for image and video analysis;
- methods for annotating images and building training datasets;
- practices for sharing and publishing datasets;
- preprocessing techniques to prepare data for model training;
- evaluation metrics and experiment tracking;
- ensuring FAIR principles and addressing bias;
- sharing trained AI models for reuse.
In addition, the materials showcase examples of how these practices have been applied in real research scenarios, offering inspiration and guidance for adapting them to new contexts.
Overall, they serve as a practical reference for anyone working with AI-based image analysis, regardless of their domain.
Check iMagine's best practice documentation here
D4.1 Best practices and guideline for developers and providers of AI-based image analytics services
Álvaro López García
January 10, 2023
D4.4 Best Practices and Guideline Updated for Developers and Providers of AI-based Image Analytics Services
D4.4 is now available
...Álvaro López García
March 21, 2025
D3.4 Best practices for producers and providers of image sets and image analysis applications in aquatic sciences
D3.4 is now available
...
Valentin Kozlov
October 01, 2024