10 datasets found

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

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...

A large-scale indoor dataset containing 360-degree fisheye images.

A large-scale dataset of indoor 3D scenes with semantic annotations.

A dataset for indoor scene understanding, containing 1449 RGBD images.

The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization.

The dataset used in the paper is a collection of spherical panoramas for indoor scene understanding tasks.

The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.

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.