3DFacilities

Please visit the 3DFacilities website, thomasczerniawski.com/3dfacilities 3DFacilities is an annotated RGB-D data-set of building facilities. It currently contains over 25,000 individual frames and 110 scene reconstructions. The data-set was created for training machine learning algorithms to perform semantic segmentation. Classes included in the data-set are: furniture, door, wall, floor, window, ceiling, column, beam, stairs, railing, light fixture, elevator, plumbing, duct, diffuser, sprinkler, cable tray, and conduit

Related Organizations

The University of Texas at Austin
United States

Keywords

Image Classification, Range Camera, Computer Vision, Building Information Modeling, Facility Management, RGB-D, Depth Camera, 3D Imaging, Machine Learning, Building Systems, Deep Learning, Range Images, 3D Images, Architecture, Structure IO, Images, Building Information Modelling, Semantic Segmentation, 3D Reconstruction, FOS: Civil engineering, Depth Images

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