paper-with-me

SensatUrban

홈페이지 · 논문 28편

The SensatUrbat dataset is an urban-scale photogrammetric point cloud dataset with nearly three billion richly annotated points, which is five times the number of labeled points than the existing largest point cloud dataset. The dataset consists of large areas from two UK cities, covering about 6 km^2 of the city landscape. In the dataset, each 3D point is labeled as one of 13 semantic classes, such as ground, vegetation, car, etc.. Source: https://github.com/QingyongHu/SensatUrban Image Source: https://github.com/QingyongHu/SensatUrban

Point cloud

벤치마크

3D Semantic Segmentation on SensatUrban 결과 24개