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3D point cloud segmentation datasets | STPLS3D
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Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for semantic and instance segmentation tasks.
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3D point cloud segmentation datasets | STPLS3D top of page HOME Data Leaderboard Publications People Contact More... Use tab to navigate through the menu items. Semantic Terrain Points Labeling - Synthetic 3D (STPLS3D) [ Github ][ Paper ][ BMVC presentation ][ Poster ] News: 03/31/2023: We are co-organizing the 3rd Urban3D workshop@ICCV2023 with SensatUrban ! Please check the Instance segmentation challenge (Codalab) to participate and win the cash award! 10/13/2022: Our paper has been accepted as an oral presentation at BMVC2022 ! 03/25/2022: We are co-organizing the 2nd Urban3D workshop@ECCV2022 with SensatUrban ! Please check the Instance segmentation challenge (Codalab) to participate and win the cash award! Our Focus Our project aims to provide a large database of annotated ground truth point clouds reconstructed using aerial photogrammetry . Our database can be use...
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