11 datasets found

Scenenet RGB-D: 5M photorealistic images of synthetic indoor trajectories with ground truth

The Matterport3D dataset contains scans of real-world environments such as apartments, offices, and churches.

NYUD2 dataset is a dataset containing RGB-D images for indoor scene understanding. It is used for depth estimation and semantic segmentation tasks.

The 2D-3D-S dataset is an indoor dataset with multiple modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations.

ARKITScenes: A diverse real-world dataset for 3D indoor scene understanding using mobile RGB-D data

The Stanford S3DIS dataset is a large-scale indoor dataset containing point clouds and semantic labels.

The Replica dataset contains 18 various highly photo-realistic indoor environments. It provides dense-mesh, high-resolution RGBD images and a large range of instance annotations...

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

Mega-scale multi-sensor photo-realistic indoor scenes dataset.

Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.