3D / Point cloud / Manufacturing & Industrial
3D Residential Scans Dataset - 100 Scans for Scene Understanding and Mesh Generation
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
3D Residential Scans Dataset - 100 Scans for Scene Understanding and Mesh Generation is a 3d / point cloud dataset. The provider states a volume of 100 scans. Typical applications include object detection and robotics & embodied AI. Relevant sectors: Manufacturing & Industrial. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 100 scans.
Overview The 3D Residential Scans Dataset is a commercial, large-scale 3D dataset produced by the provider, containing 100 high-quality 3D scans of real apartments and indoor scenes. The collection includes 3D point clouds (splats), textured 3D meshes, lidar scans, and RGB-D data generated via 3D Gaussian Splatting (3DGS) technology, all captured using the XGRIDS PortalCam scanning device. Designed for robotics, Physical AI, robot training, scene understanding, mesh generation, and 3D reconstruction workflows, this real-world 3DGS dataset delivers detailed 3D layouts of residential indoor environments suitable for computer vision, deep learning, and simulation pipelines. Dataset Composition The dataset is built around 100 fully reconstructed 3D scans of real residential apartments. Each scan provides: - 3D point clouds (splats) — high-density 3D points that capture the complete geometry of indoor scenes - Textured 3D meshes — reconstructed surfaces with accurate textures and visual fidelity - Metadata — structured information describing each scanned apartment - Multiple levels of free movement accessibility — diverse layout types reflecting realistic indoor spaces and navigation scenarios Capture Technology and Sensor Setup All 100 scans were collected by the the provider team using the XGRIDS PortalCam, a professional scanning system combining LiDAR sensors and RGB-D cameras. The device outputs the following sensor streams per scan: - 3-axis accelerometer — linear acceleration measure
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Overview The Egocentric Video Dataset is a large-scale, multimodal collection produced by the provider, containing 4,050 hours of first-person egocentric videos of daily…
- Language
- —
- Volume
- 4,050 h
- Domain
- Manufacturing & Industrial
- Use case
- Object detection
USD 30,000
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