ShapeNet

ShapeNet is an ongoing effort to establish a richly-annotated, large-scale dataset of 3D shapes. We provide researchers around the world with this data to enable research in computer graphics, computer vision, robotics, and other related disciplines. ShapeNet is a collaborative effort between researchers at Princeton, Stanford and TTIC.

ShapeNetCore

ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an appropriate synset in WordNet (version 3.0). The distribution of for ShapeNetCore is organized into one zip file per synset.
Each zip file is named by the synset noun offset as an eight-digit zero padded string. For example, bench is contained within 02828884.zip since the WordNet synset offset for bench is 02828884 (you can browse WordNet 3.1 online). The corresponding ImageNet synsets can be accessed at http://www.image-net.org/synset?wnid=n where is replaced by the padded synset offset (note that ImageNet includes an 'n' prefix for noun synsets). For instance, the ImageNet url for bench is http://www.image-net.org/synset?wnid=n02828884.

ShapeNetCore v2

ShapeNetCore v2 is an update to ShapeNetCore with improved quality of model geometry and fixed issues relating to materials and textures. The v2 package provides improved .obj+.mtl format model data that replaces the .obj+.mtl data in ShapeNetCore v1, and is part of an upcoming public data release. As part of ShapeNetCore v2, surface and solid voxelizations (using binvox) of the models are also provided. However, the preliminary ShapeNetCore v2 was incomplete and had different normalization than ShapeNetCore v1. NOTE: The OBJ files are now pre-aligned so that the up direction is the +Y axis, and the front is the -Z axis (this fixes the mirroring issue in ShapeNetCore v1). The Y-Z plane is the bilateral symmetry plane for most categories.

ShapeNetCore v1

NOTE: The OBJ files have been pre-aligned so that the up direction is the +Y axis, and the front is the +X axis. In addition each model is diagonally normalized to fit within a unit cube centered at the origin. The X-Y plane is the bilateral symmetry plane for most categories.
A known issue with ShapeNetCore v1 is that due to the conversion pipeline used, some models are mirrored and have incorrect normals.

ShapeNetSem

ShapeNetSem is a subset of ShapeNet, richly annotated with physical attributes, which we release for the benefit of the research community.
Compared to ShapeNetCore, ShapeNetSem is a smaller, more densely annotated subset of ShapeNet consisting of 12,000 models spread over a broader set of 270 categories. There are several types of metadata available for the models. For more information, see the ShapeNetSem v0 README.