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This paper introduces a new Urban Point Cloud Dataset for AutomaticSegmentation and Classification acquired by Mobile Laser Scanning (MLS). Wedescribe how the dataset is obtained from acquisition to post-processing andlabeling. This dataset can be used to learn classification algorithm, however,given that a great attention has been paid to the split between the differentobjects, this dataset can also be used to learn the segmentation. The datasetconsists of around 2km of MLS point cloud acquired in two cities. The number ofpoints and range of classes make us consider that it can be used to trainDeep-Learning methods. Besides we show some results of automatic segmentationand classification. The dataset is available at:http://caor-mines-paristech.fr/fr/paris-lille-3d-dataset/

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