Microsoft AI for Good Lab ran their damage assessment AI models in Caraballeda. The dataset includes geospatial data in GEOPACKAGE and GEOJSON formats, as well as JPEG imagery. It was last updated on 2026-06-27.
Use Cases
- Assessing building damage levels based on AI model outputs mentioned in the description.
- Mapping the spatial distribution of earthquake damage in Caraballeda.
- Training or validating new damage assessment models using the provided geospatial annotations.
- Conducting post-disaster impact analysis for infrastructure and planning.
Strengths
- Data is provided in standard geospatial formats (GEOPACKAGE, GEOJSON).
- Produced by a named organization, Microsoft AI for Good Lab.
- Has a clear, permissive license (CC-BY-4.0).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Microsoft AI for Good Lab
- Collection Method
- AI model analysis for damage assessment.
- Freshness
- Last updated 2026-06-27 15:04:35.171171; freshness should be verified.
- Geography
- Caraballeda, Venezuela