Sequential drone imagery of building façades under controlled acquisition configurations for rectified façade orthophotos

Reliable façade inspection requires image data that support photogrammetric reconstruction and the generation of rectified façade products under well-documented acquisition conditions. Presented here is a sequential drone imagery dataset acquired from three residential apartment buildings under three representative acquisition configurations per building, yielding nine building-configuration dataset units. The release contains raw JPEG images captured using a DJI Mavic 3 Enterprise platform with mission planning and automated flight execution in UGCS. The acquisition framework was developed for crack-oriented façade inspection under practical field constraints, with acquisition conditions intended to support visibility of cracks wider than approximately 3 mm in raw images. Within each building-configuration unit, images are grouped by façade elevation, including front, rear, left-side, and right-side façades. Image counts vary across façades because of differences in façade geometry, accessible viewpoints, corridor conditions, and other operational constraints. The dataset is intended for repeated offline evaluation of photogrammetric processing settings, including image alignment, reconstruction, and orthophoto generation.