
AI-Powered Building Attribute Extraction
Leveraging street imagery to enrich architectural data
OpenFACADES provides a framework to automatically extract and enrich building attribute data from street view imagery, addressing the scarcity of comprehensive building information.
Key Innovations:
- Integrates multiple datasets and leverages AI techniques to extract building properties
- Creates a systematic method for tagging and analyzing architectural elements
- Enables applications in energy simulation, risk assessment, and environmental modeling
- Offers a solution to the persistent challenge of incomplete building attribute data
This research advances engineering capabilities by creating computational methods that transform visual data into structured building information, supporting more accurate urban planning and infrastructure development.