Annotated point clouds of buildings: a segmented dataset of single-family houses

The dataset contains 2.904 geometries of single-family houses in the form of annotated Point Clouds, and was developed in order to serve as a fasilitator for the training of 3D Generative Adversarial Networks. More spesificaly the geometries are segmented within 3 classes: wall, roof, floor. The points of the point clouds are saved in .pts files while their labels are saved in .seg files.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV