Statements (21)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:contains |
synthetic 3D scenes
|
| gptkbp:creator |
gptkb:Imperial_College_London
|
| gptkbp:domain |
computer vision
|
| gptkbp:focus |
indoor scene understanding
|
| gptkbp:license |
gptkb:Creative_Commons
|
| gptkbp:notableRelease |
SceneNet RGB-D
|
| gptkbp:provides |
RGB images
depth maps semantic labels camera poses |
| gptkbp:relatedTo |
NYU Depth V2
SUN RGB-D |
| gptkbp:releaseYear |
2016
|
| gptkbp:usedFor |
object recognition
semantic segmentation depth estimation |
| gptkbp:website |
https://robotvault.bitbucket.io/scenenet-rgbd.html
|
| gptkbp:bfsParent |
gptkb:Stanford_Vision_and_Learning_Lab
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
SceneNet
|