[3D Vision] Introduction to ShapeNet Dataset

0.ShapeNet organizational structure

ShapeNet

* ShapeNetCore
 	+  ShapeNetCore.v1
 	+ ShapeNetCore.v2
* ShapeNetSem

1.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 (you can browse WordNet 3.1 online). The corresponding ImageNet synsets can be accessed at 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=n02828884.02828884http://www.image-net.org/synset?wnid=n

ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore links to the corresponding assembly in WordNet (version 3.0). The file organization structure of ShapeNetCore is that each synset is in a zip file. Each zip file is named by a synset noun offset as an eight-digit zero-padded string. For example, bench is contained in 02828884.zip

1.1. ShapeNetCore v1 (July 2015)

Dataset size: 30.3GB

Data organization structure

The downloaded and unzipped Shapenetcore.V1 consists of a set of files. Each file consists of a set of model directories and csv files, organized as follows:

• viewId
  • modelId
    • model.obj : (3D Rotatable version of the image)
    • model.mtl : Materials file for OBJ; Includes the name of texture files and material properties.
    • images
      • jpg, png: Textures for the 3D model
• synsetId.csv : (Metadata associated with the model of the synset)

1.2.ShapeNetCore v2 (Fall 2016)

Dataset size: 25GB

Data organization structure

The downloaded and unzipped Shapenetcore.V2 consists of a set of files. Each file consists of a set of model directories and csv files, organized as follows:

• viewId

  • modelId
    • models
      • model_normalized.json : Metadata for normalization of the 3D model (bounding box, centroid) and model statistics (number of vertices, etc)
      • model_normalized.obj : 3D mesh in OBJ format (specifying vertices and faces)
      • model_normalized.mtl : Materials file for OBJ; Includes the name of texture files and material properties.
      • model_normalized.solid.binvox : Filled-in binary voxelizations of models in binvox format
      • model_normalized.surface.binvox : Binary voxelizations of model surfaces in binvox format
    • images
      • jpg, png: Textures for the 3D model
    • screenshots
      • png : 2D renderings of the 3D model from different angles
      • …
  • …

• …

1.3 Download method

Register account to download, register and log in.

login interface

ShapeNetCore download interface

ShapeNetCore.v1 download subset

URL format: http://shapenet.cs.stanford.edu/shapenet/obj-zip/ShapeNetCore.v1/[synsetId].zip

Example:
download 02828884.zip, which is a subset of bench data, the link is:
http://shapenet.cs.stanford.edu/shapenet/obj-zip/ShapeNetCore.v1/02828884.zip

ShapeNetCore.v2 can only download the entire dataset

2.ShapeNetSem

official introduction

a subset of ShapeNet richly annotated with physical attributes, which we release for the benefit of the research community.

It is a subset of ShapeNet with rich physical property annotations.

The contents mainly include:

1. model data

• models-OBJ.zip : OBJ format 3D mesh files (with accompanying MTL material definition files)
• models-textures.zip : texture files used by above 3D mesh representations
• models-COLLADA.zip : COLLADA (DAE) format 3D mesh files
• models-binvox.zip : Binary voxelizations of model surfaces in binvox format
• models-binvox-solid.zip : Filled-in binary voxelizations of models in binvox format
• models-screenshots.zip : Pre-rendered screenshots of each model from 6 canonical orientations (front, back, left, right, bottom, top), and another 6 “turn table” positions around the model

2. metadata file

• metadata.csv: contains the metadata associated with each model
• categories.synset.csv : maps manual category labels to WordNet synsets and glosses
• materials.csv : set of per-category material priors extracted from OpenSurfaces [Bell et al. 2014] dataset
• densities.csv : material densities (g / cm3) and static coefficients of friction
• taxonomy.txt : defines the taxonomy of our manual categories. Lines start with parent category followed by child categories, all separated by tabs. Note comment lines starting with ‘#’

Download method:

Replace the last README.txt in the URL below with the file name of the above metadata.

http://shapenet.cs.stanford.edu/shapenet/obj-zip/ShapeNetSem.v0/README.txt

• For example:
  to download models-OBJ.zip
  , the link is: http://shapenet.cs.stanford.edu/shapenet/obj-zip/ShapeNetSem.v0/models-OBJ.zip