point clouds
crossed_arm_point_clouds
Crossed Arm Point Clouds Dataset
This dataset contains 3D point cloud data captured from a LiDAR scanner for crossed arm classification in the context of robot magic trick performance.
Overview
This dataset was collected for training and evaluating the Crossed Arm Voxel Network (CAVN) architecture, a deep learning model designed for 3D point cloud classification in human-robot interaction magic performances. The data supports classification of human arm positions during… See the full description on the dataset page: https://huggingface.co/datasets/ahanjaya/crossed_arm_point_clouds.Colored_Point_Clouds
Colored point-cloud completion — PoinTr-protocol occlusions
Colored ground truth and occluded partial inputs for colored point-cloud completion,
built from textured ShapeNetCore meshes. Three categories, 599 models, 1797 partials.
What makes this different from the usual completion sets: the ground truth carries
per-point color sampled from the mesh texture, and it is de-speckled before sampling,
so the color is actually correct rather than plausible-looking.… See the full description on the dataset page: https://huggingface.co/datasets/eylulpelinkilic/Colored_Point_Clouds.foreground_object_pointcloudsDrivaerml_point_clouds
DrivAerML Point Clouds
A preprocessed, point-cloud version of the DrivAerML high-fidelity CFD dataset, ready for training point-based deep learning surrogates (PointNet, PCT, DGCNN, Graph Neural Operators, etc.) for automotive external aerodynamics.
The original DrivAerML release contains 500 scale-resolving CFD simulations of parametrically morphed DrivAer notchback geometries and ships as 31 TB of raw STL / VTP / VTU / OpenFOAM data. This release distills the surface boundary of… See the full description on the dataset page: https://huggingface.co/datasets/Jrhoss/Drivaerml_point_clouds.pointcloudssetpointclouds