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ScanNet

ScanNet is a richly annotated dataset for 3D reconstruction of indoor scenes, containing RGB images, groundtruth depths, camera poses, surface reconstructions, and instance-level semantic segmentations.

Data and Resources

This dataset has no data

Cite this as

Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Nießner (2024). Dataset: ScanNet. https://doi.org/10.57702/yv5yc1z0

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	November 25, 2024
Last update	November 25, 2024
Author	Angela Dai
More Authors	Angel X Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner
Homepage	http://www.scan-net.org/