  We present ShapeNet: a richly-annotated, large-scale repository of shapes
represented by 3D CAD models of objects. ShapeNet contains 3D models from a
multitude of semantic categories and organizes them under the WordNet taxonomy.
It is a collection of datasets providing many semantic annotations for each 3D
model such as consistent rigid alignments, parts and bilateral symmetry planes,
physical sizes, keywords, as well as other planned annotations. Annotations are
made available through a public web-based interface to enable data
visualization of object attributes, promote data-driven geometric analysis, and
provide a large-scale quantitative benchmark for research in computer graphics
and vision. At the time of this technical report, ShapeNet has indexed more
than 3,000,000 models, 220,000 models out of which are classified into 3,135
categories (WordNet synsets). In this report we describe the ShapeNet effort as
a whole, provide details for all currently available datasets, and summarize
future plans.
