Introduced: CVPR 2015
Description: New images, plus images taken from NYUv2, B3DO and SUN3D. All of indoor scenes.
Labelling: 10,335 images with polygon annotation, and 3D bounding boxes around objects
The dataset contains RGB-D images from NYU depth v2 , Berkeley B3DO , and SUN3D . Besides this paper, you are required to also cite the following papers if you use this dataset.
NYU Dataset v2
- ~408,000 RGBD images from 464 indoor scenes, of a somewhat larger diversity than NYU v1. Per-frame accelerometer data.
Description: 5 million images rendered of 16,895 indoor scenes. Room configuration randomly generated with physics simulator.
Labelling: Camera pose, plus per-pixel instance, class labelling and optical flow.