Buildings & Interiors Point Cloud Dataset
If you are looking for a large indoor 3D scene dataset captured with RGB-D data and camera parameters, this could be for you. It includes 100M RGB-D frames with 256×192 depth maps, refined SLAM trajectories, bundle‑adjusted poses and high‑quality scene 3D meshes provided in .gltf format. Raw input data is also available in sessions.
If you are looking for a large indoor 3D scene dataset captured with RGB-D data and camera parameters, this could be for you. It includes 100M RGB-D frames with 256×192 depth maps, refined SLAM trajectories, bundle‑adjusted poses and high‑quality scene 3D meshes provided in .gltf format. Raw input data is also available in sessions.
If you are looking for a large indoor 3D scene dataset captured with RGB-D data and camera parameters, this could be for you. It includes 100M RGB-D frames with 256×192 depth maps, refined SLAM trajectories, bundle‑adjusted poses and high‑quality scene 3D meshes provided in .gltf format. Raw input data is also available in sessions.
If you are looking for a large indoor 3D scene dataset captured with RGB-D data and camera parameters, this could be for you. It includes 100M RGB-D frames with 256×192 depth maps, refined SLAM trajectories, bundle‑adjusted poses and high‑quality scene 3D meshes provided in .gltf format. Raw input data is also available in sessions.
Dataset specs
Type
Image
Amount
406K scenes
Leverage
Advance AI and GenAI systems by training models on large-scale RGB-D scene data with depth maps, camera parameters, refined SLAM trajectories and high-quality 3D meshes.
Use cases
Train models for spatial reasoning, depth estimation and 3D scene reconstruction using synchronized RGB-D frames and calibrated camera poses.
Improve robotics navigation, environment mapping and 3D environment generation using detailed scene 3D meshes and large-scale RGB-D capture AI training data.
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Dataset specs
Type
Image
Amount
406K scenes