Explore the relationship between images, camera data and reconstructed geometry—not just a folder of files.
Aerially captured environments. Scene-level inventories. Commercial licensing.
Illustrative reconstruction, not a catalog offer. Available representations vary by scene.
Search for combinations retained in the same scene version.
Compare source observations with a retained point cloud or mesh.
Find matching scenes → 02 / VIEWPOINT RELATIONSHIPSInspect image associations and the camera parameters actually supplied.
Find matching scenes → 03 / SPATIAL CONTEXTEvaluate multiple representations together before choosing a collection.
Find matching scenes →File-presence filters are not certifications of calibration, registration or suitability for a particular model.
Open the views, inspect the file types and read the capture limitations.
Retained together in this scene: 1,192 source image files, camera-data files, point clouds, orthomosaics.
Retained together in this scene: 33 source image files, camera-data files, point clouds, meshes, orthomosaics.
Retained together in this scene: 1,499 source image files, camera-data files, point clouds, orthomosaics.
Retained together in this scene: 1,484 source image files, camera-data files, point clouds, meshes, orthomosaics.
Retained together in this scene: 25 source image files, camera-data files, point clouds, meshes, orthomosaics.
Retained together in this scene: 67 source image files, camera-data files, point clouds, meshes, orthomosaics.
Find connected representations, built environments, infrastructure and natural scenes through explicit inventory requirements.
Use both, with the right expectations.
Photogrammetric point clouds and meshes are reconstructed from imagery. They are not independent survey ground truth. Camera files can contain observations, calibration or reconstructed poses; inspect the actual fields.
The current catalog is aerially captured scene data. It is not a promise of indoor coverage, robot actions, synchronized trajectories or simulator-ready assets.
How to evaluate a spatial dataset →Explore real-world spatial datasets linking source images with retained camera data and reconstructed geometry. Inspect scene inventories and evaluate fit before licensing.
Explore the workflow →Find real-world 3D scene datasets containing source images and retained point clouds or meshes. Compare capture context, formats and reconstruction limitations.
Explore the workflow →Discover scenes with source images and camera-data files. Check reconstructed poses, intrinsics, image mapping and coordinate conventions before using them as a camera-pose dataset.
Explore the workflow →Evaluate aerially captured real-world scenes for static spatial research. Inspect images, camera data and geometry, with clear limits on temporal and action-conditioned uses.
Explore the workflow →Explore real-world photogrammetric point-cloud datasets. Compare retained formats, source imagery, scene metadata and accuracy limitations before licensing.
Explore the workflow →Find real-world scene candidates for novel-view synthesis. Inspect source views and camera files, plan held-out views and evaluate the coverage of each capture.
Explore the workflow →Explore photogrammetry scene datasets with source imagery and retained 3D outputs. Compare reconstruction workflows, capture coverage and processing limitations.
Explore the workflow →Inspect DSM and DTM scene candidates with orthomosaics. Compare reference systems, grid alignment, visible surfaces and processing-derived elevation limitations.
Explore the workflow →Share your target environments, required representations, evaluation criteria and intended use. We will work through available scenes, samples and licensing with you.
