Matterport3D

Introduced by Chang et al. in Matterport3D: Learning from RGB-D Data in Indoor Environments

The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside 90 real building-scale scenes, constructed from 194,400 RGB-D images. Each scene is a residential building consisting of multiple rooms and floor levels, and is annotated with surface construction, camera poses, and semantic segmentation.

Source: Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

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Benchmarks

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Task	Dataset Variant	Best Model
Semantic Segmentation	Matterport3D	SFSS-MMSI
Depth Completion	Matterport3D	DM-LRN-b4
Depth Estimation	Matterport3D	UniFuse
Monocular Depth Estimation	Matterport3D	NeWCRFs
Depth Prediction	Matterport3D	NeWCRFs