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

Iro Armeni, Sasha Sax, Amir R. Zamir +1

We present a dataset of large-scale indoor spaces that provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric…