SUN3D
Introduced by Jianxiong Xiao et al. in SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
SUN3D contains a large-scale RGB-D video database, with 8 annotated sequences. Each frame has a semantic segmentation of the objects in the scene and information about the camera pose. It is composed by 415 sequences captured in 254 different spaces, in 41 different buildings. Moreover, some places have been captured multiple times at different moments of the day.
Source: A Review on Deep Learning TechniquesApplied to Semantic SegmentationPapers
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