SensatUrban 是一个城市规模的摄影测量点云数据集。数据集选取三个英国城市（伯明翰，剑桥以及约克）7.6 平方公里的区域，标注了近 30 亿个语义标注点。该数据集中每个点都被标注为 13 个语义类别之一，例如地面、植被、汽车等。

Citation

If you find our work useful in your research, please consider citing: @inproceedings{hu2020towards, title={Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges}, author={Hu, Qingyong and Yang, Bo and Khalid, Sheikh and Xiao, Wen and Trigoni, Niki and Markham, Andrew}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2021} } @article{hu2022sensaturban, title={Sensaturban: Learning semantics from urban-scale photogrammetric point clouds}, author={Hu, Qingyong and Yang, Bo and Khalid, Sheikh and Xiao, Wen and Trigoni, Niki and Markham, Andrew}, journal={International Journal of Computer Vision}, volume={130}, number={2}, pages={316–343}, year={2022}, publisher={Springer} }