5 datasets found

The SUNCG dataset is a large dataset of 3D indoor scenes with missing objects. The dataset is used to evaluate the performance of scene augmentation and context-based object...

The iGibson dataset is a large-scale indoor scene dataset, consisting of 572 buildings, 1400 floors, and 211,000 square meters of indoor space.

The NYU-DepthV2 dataset is an indoor scene dataset that consists of RGB and depth images.

The NYUDv2 dataset contains 1,449 labeled indoor-scene RGB images with both parsing annotations and Kinect depths.

RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained...