Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification

This paper introduces a new Urban Point Cloud Dataset for Automatic\nSegmentation and Classification acquired by Mobile Laser Scanning (MLS). We\ndescribe how the dataset is obtained from acquisition to post-processing and\nlabeling. This dataset can be used to learn classification algorithm, however,\ngiven that a great attention has been paid to the split between the different\nobjects, this dataset can also be used to learn the segmentation. The dataset\nconsists of around 2km of MLS point cloud acquired in two cities. The number of\npoints and range of classes make us consider that it can be used to train\nDeep-Learning methods. Besides we show some results of automatic segmentation\nand classification. The dataset is available at:\nhttp://caor-mines-paristech.fr/fr/paris-lille-3d-dataset/\n