Statements (37)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:affiliatedWith |
gptkb:Princeton_University
gptkb:Stanford_University gptkb:Technical_University_of_Munich gptkb:Max_Planck_Institute_for_Informatics |
| gptkbp:citation |
Dai, A., et al. 'ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes.' CVPR 2017.
|
| gptkbp:contains |
semantic annotations
3D reconstructions camera poses RGB-D video scans surface meshes |
| gptkbp:creator |
gptkb:Leonidas_J._Guibas
gptkb:Christian_Theobalt Justus Thies Matthias Nießner Michael Zollhöfer Shuran Song Angela Dai Sofien Bouaziz |
| gptkbp:domain |
computer vision
3D scene understanding |
| gptkbp:format |
.txt
.ply .sens |
| https://www.w3.org/2000/01/rdf-schema#label |
ScanNet dataset
|
| gptkbp:license |
non-commercial research
|
| gptkbp:number_of_scans |
1513
|
| gptkbp:number_of_scenes |
707
|
| gptkbp:releaseYear |
2017
|
| gptkbp:usedFor |
semantic segmentation
scene reconstruction instance segmentation 3D object detection SLAM evaluation |
| gptkbp:website |
http://www.scan-net.org/
|
| gptkbp:bfsParent |
gptkb:Matthias_Niessner
|
| gptkbp:bfsLayer |
7
|