datasetAndBenchmark.md

常用Benchmark DataSet

1、Public Datasets

• ScanNet (CVPR'17) [paper] [data] [project page] [results]
• S3DIS (CVPR'17) [paper] [data] [project page]
• Semantic3D (ISPRS'17) [paper] [project page]
  • semantic-8 [data] [results]
  • reduced-8 [data] [results]
• Paris-Lille-3D (IJRR'18) [paper] [data] [project page] [results]
• SemanticKITTI (ICCV'19) [paper] [data] [project page] [results]
• Toronto-3D(CVPRW2020)[paper] [data] [project page][无results]
• DALES(CVPRW2020)[paper] [data] [project page] [无results]

对于3D点云分割，这些数据集由不同类型的传感器获取，包括移动激光扫描仪(MLS)[15]、[34]、[36]、空中激光扫描仪(ALS)[33]、[38]、静态陆地激光扫描仪(TLS)[12]、RGBD相机[11]和其他3D扫描仪[10]。这些数据集可用于开发各种挑战的算法，包括相似干扰、形状不完整和类别不平衡。

2、Benchmark Results