Real Estate Image and Floor Plan Annotation Services for Property Intelligence and Room Classification

Real estate AI systems rely on accurately labeled images and floor plans to recognize room types, identify interior features, analyze property layouts, and support automated valuation and listing enhancement tools. Since real estate data varies widely in lighting, furniture styles, layout complexity, and architectural structure, annotation must be consistent and aligned with property analysis workflows.DataVLab provides image and floor plan annotation services for PropTech platforms, real estate marketplaces, architectural software companies, interior mapping tools, and AI teams developing automated room detection or property intelligence systems. Our workflows support diverse real estate datasets, including interior photos, exterior building images, scanned floor plans, 2D architectural drawings, and 3D space mapping content.We annotate room types, furniture items, structural elements, windows, doors, appliances, materials, defects, and property condition indicators. For floor plans, we provide polygon and vector annotation for walls, openings, fixtures, labels, measurements, and layout segmentation. We also support bounding boxes, semantic segmentation, OCR for plan labels, and conversion aligned annotation for 2D to 3D reconstruction.Quality control includes multi pass review, class consistency checks, structure verification for architectural plans, and alignment of annotations to design conventions. Secure workflows with EU based annotation teams are available for sensitive property data.Our real estate annotation services help AI teams enhance room classification accuracy, improve interior understanding, automate floor plan interpretation, and build reliable real estate intelligence systems.