ScanNet is an RGB-D video dataset of indoor scenes containing 2.5 million views in 1513 scans. It uses 38 thing categories for items and furniture in the rooms and 2 stuff categories (wall and floor). It is not a complete panoptic dataset, as the labels only cover about 90% of all surfaces.

Dataset information

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