Objectives
The main challenges of STORE are to build a sustainable shared and scalable database addressing the evolution of threats and the diversity of terrestrial environments, and to develop and benchmark high-performance AI-based image recognition capabilities.
Research objectives
- Increase readiness of future technologies for upscaling and secure data sharing
- Define, measure, and increase performances of AI algorithms on defence image recognition use-cases beyond state-of-the-art
Technical objectives
- Set-up new frameworks for data production and sharing, ensuring adaptability and compliance with interoperability standards
- Set-up new frameworks for efficient recognition software co-development through the development of a leading edge AI factory for defence functionalities benchmark with a research reproducibility guarantee
Users oriented objectives
- Achieve a representative and reliable image database versus targeted use cases
- Define and set-up appropriate governance model for data sharing within the project and beyond
- Integrate software systems recognition functions and evaluate performances through a final demonstration
