Public deliverables &
Datasets
D1.3 - Data management plan
D2.1 - Pilot use case design and user requirements
D2.3 - Requirements communication and stakeholder engagement
D3.2 - Social media and mobile data collection
D3.3 - UAV Data Collection
D4.1 - Data availability for AI models and quality of annotated data v1
D4.2 - Water Quality Estimation
D5.1 - 3D Μodel reconstruction from satellite data
D6.1 - The CALLISTO ontologies and semantic indexing
D6.2 - Named entity recognition for geo-referencing
D7.1 - Technical requirements and platform development roadmap
D9.1 - Initial Communication and Dissemination plan
D9.2 - CALLISTO web presence
D9.4 – Mid-term dissemination plan
The CALLISTO data repository is an open-access added-value data repository, enabling stakeholders to search for annotated datasets to use for training, testing and validating their AI models. The datasets available on the repository are particularly focusing on the thematic areas of the project pilot use cases, i.e., agriculture monitoring, water quality assessment, satellite journalism and land border change detection.
CALLISTO generated datasets
- Annotated Street Level Images from Mapillary (published in MMM22)
- Space2Ground dataset for Agriculture Monitoring (published in IVMSP-2022)
- Paddy Rice Maps South Korea (2017~2021)
- Paddy Rice Labeling Sites in South Korea (2018)
- Water quality in a basin for drinking water in the North-West of Italy (2022)
- Geotagged tweets in German about air quality (published in IVMSP2022) (2022)
- Syntactic Geospatial data generated in RDF format (2022)
- Air quality trends for Berlin and Hamburg (2021-2022) (2023)
Project templates
A set of templates has been designed aiming to ensure the consistency of the project visual identity. This set of templates includes:
- A template for project deliverables
- A template for project PowerPoint presentations.
- A template for press releases.
- A template for dissemination activities reporting.
- A template for blog posts.