Rapid Visual Screening of Buildings for Potential Seismic Hazards: Automated Deep Learning Classification Approach Dataset V 0.1.0

Initial Release

Initial Release of "Rapid Visual Screening of Buildings for Potential Seismic Hazards: An Automated Deep Learning Classification Approach" Database

This database is collected by researchers at Sharif University of Technology, Tehran, Iran.

This database includes street-view images of building facades for:

Different structural types

Damaged/not damaged buildings.

Soft story buildings (Vertical irregularities)

Falling hazards (Water towers)

Satellite images of buildings with plan irregularities

It is used for Deep Learning / Computer Vision approach for Rapid Visual Screening for potential Seismic hazards provided by FEMA-154

If you use this content please cite following paper and repository:

Shayan Shourabi, Ali Bakhshi, "Rapid Visual Screening of Buildings for Potential Seismic Hazards: Automated Deep-Learning Classification Approach.", Journal of Computing in Civil Engineering, 2025, Volume(39), Issue(3), 04025016, ISSN 0887-3801

https://doi.org/10.1061/JCCEE5.CPENG-6030

https://zenodo.org/doi/10.5281/zenodo.13311881