Real-World 3D Scan Dataset
This dataset with 30M+ real-world 3D scans paired with multi‑view imagery and per-frame camera calibration. It represents one of the largest collections of 3D geometry and view-consistent images available, enabling the training of highly capable spatial reasoning, scene reconstruction and robotics world-model systems.
This dataset with 30M+ real-world 3D scans paired with multi‑view imagery and per-frame camera calibration. It represents one of the largest collections of 3D geometry and view-consistent images available, enabling the training of highly capable spatial reasoning, scene reconstruction and robotics world-model systems.
This dataset with 30M+ real-world 3D scans paired with multi‑view imagery and per-frame camera calibration. It represents one of the largest collections of 3D geometry and view-consistent images available, enabling the training of highly capable spatial reasoning, scene reconstruction and robotics world-model systems.
This dataset with 30M+ real-world 3D scans paired with multi‑view imagery and per-frame camera calibration. It represents one of the largest collections of 3D geometry and view-consistent images available, enabling the training of highly capable spatial reasoning, scene reconstruction and robotics world-model systems.
Dataset specs
Type
Image
File format
gld/glTF
Amount
30M scans
Leverage
Advance AI and GenAI systems by training models on one of the largest real-world 3D scan datasets, paired with multi-view imagery and per-frame camera calibration.
Use cases
Train models for spatial reasoning, 3D scene reconstruction and view-consistent geometry understanding using this large-scale, real-world point cloud dataset.
Improve robotics world models, 3D generative models, and immersive environment simulation using high-fidelity, multi-view imagery and calibrated 3D geometry.
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Dataset specs
Type
Image
File format
gld/glTF
Amount
30M scans