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Commercial
3D Residential Scans Dataset
This dataset contains 3D scans of apartments, including splats and meshes generated via 3DGS technology, with high-quality point clouds, lidar scans, RGB-D data, and textured 3D meshes captured using the XGRIDS PortalCam. Designed for robotics, physical AI, and robot training, this real-world 3DGS dataset supports 3D reconstruction, scene understanding, object detection, spatial analysis, and deep learning workflows for indoor environments.
-
- Scans
- 100
- Computer Vision
- 3D Reconstruction
- Mesh Generation
- Gaussian Splatting
- Scene Understanding
- Computer Vision
- 3D Reconstruction
- Mesh Generation
- Gaussian Splatting
- Scene Understanding
This dataset contains 3D scans of apartments, including splats and meshes generated via 3DGS technology, with high-quality point clouds, lidar scans, RGB-D data, and textured 3D meshes captured using the XGRIDS PortalCam. Designed for robotics, physical AI, and robot training, this real-world 3DGS dataset supports 3D reconstruction, scene understanding, object detection, spatial analysis, and deep learning workflows for indoor environments.
- Computer Vision
- 3D Reconstruction
- Mesh Generation
- Gaussian Splatting
- Scene Understanding
-
- Scans
- 100
Dataset Info
| Characteristic | Data |
| Description | 3D scans of apartments, including splats and meshes generated via 3DGS technology |
| Data types | 3D point clouds (splats), meshes, metadata |
| Tasks | 3D Reconstruction, Scene Understanding, Mesh Generation |
| Number of scans | 100 |
| Accessibility levels | Multiple levels of free movement accessibility |
| Sensor outputs | 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, Orientation quaternions |
Technical
Characteristics
| Characteristic | Data |
| Scan format | PLY / LAS (splats), OBJ/GLTF (meshes) |
| Capture device | XGRIDS PortalCam |
| Output formats | Splats, Meshes |
Statistics
- Apartment room distribution
Dataset Use Cases
FAQs
What formats are supported in this dataset?
The dataset supports multiple industry-standard formats, including PLY, LAS, OBJ, and GLTF.
How was the data collected?
Data was collected using the XGRIDS PortalCam scanning system in real residential environments. The capture process generates high-quality 3D scans, detailed meshes, and spatial reconstructions suitable for robotics and AI research.
What makes this 3D Residential Scans Dataset different from traditional point cloud datasets?
Unlike standard point cloud datasets, this collection combines 3D Gaussian Splatting (3DGS), high-quality meshes, multiple spatial representations, and motion sensor data captured with the XGRIDS PortalCam.
Does the dataset support robotics and physical AI training?
Yes, the dataset is optimized for robot training, robotics research, and physical AI development. The realistic 3D indoor scenes, point clouds, and accessibility layouts make it useful for navigation models, embodied agents, and autonomous robotic systems.
Does the dataset include real-world indoor environments?
Yes, the dataset contains scans of actual apartments with varying movement accessibility conditions. These realistic 3D indoor spaces are valuable for scene understanding, robot navigation, and simulation tasks.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, sample files from the dataset can be requested for testing and evaluation.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model, where sample data is available for testing while full datasets are accessible exclusively through purchase. This allows organizations to evaluate the dataset before deployment in production or research workflows.
How are Unidata datasets stored?
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After submitting a request, the Unidata team reviews the project details and completes the required documentation process. Following agreement signing and payment, the dataset is typically delivered within 3–10 days.
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