3D Room Layouts From A Single RGB Panorama

The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. It covers over 6,000 m2 collected in 6 large-scale indoor areas that originate from 3 different buildings. It contains over 70,000 RGB images, along with the corresponding depths, surface normals, semantic annotations, global XYZ images (all in forms of both regular and 360° equirectangular images) as well as camera information. It also includes registered raw and semantically annotated 3D meshes and point clouds. The dataset enables development of joint and cross-modal learning models and potentially unsupervised approaches utilizing the regularities present in large-scale indoor spaces. Source: https://github.com/alexsax/2D-3D-Semantics Image Source: https://github.com/alexsax/2D-3D-Semantics

The PanoContext dataset contains 500 annotated cuboid layouts of indoor environments such as bedrooms and living rooms. Source: LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image Image Source: https://panocontext.cs.princeton.edu/paper.pdf

A dataset which contains over 200 apartments. Source: Rent3D: Floor-Plan Priors for Monocular Layout Estimation