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