5 datasets found

Groups: Semantic Segmentation Organizations: No Organization

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  • TUM-MLS-2016

    TUM-MLS-2016: An annotated mobile LiDAR dataset of the TUM City Campus for semantic point cloud interpretation in urban areas.

  • ScanNet-v2

    Learning from bounding-boxes annotations has shown great potential in weakly-supervised 3D point cloud instance segmentation. However, we observed that existing methods would...

  • Semantic3D

    A large-scale point cloud classification benchmark, focusing on semantic segmentation of urban scenes.

  • S3DIS

    The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.

  • ModelNet40

    Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...