25 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...

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

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

The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface...

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.

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

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.

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.

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

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

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

The dataset is used for indoor scene understanding and contains RGB and depth images.

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

Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

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