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ModelNet 3D Point Cloud Dataset

Date

3 years ago

Size

6.22 GB

Organization

Princeton Vision & Robotics Labs

The ModelNet dataset contains 662 target categories, 127,915 CAD models, and 10 categories of oriented data. It aims to provide comprehensive 3D object models for researchers in computer vision, computer graphics, robotics, and cognitive science.

The dataset consists of three subsets:

  • ModelNet10 is a subset of data with 10 labeled orientations;
  • ModelNet40 is a 3D model of 40 categories;
  • Aligned40 is a 3D model labeled with 40 categories.

The ModelNet dataset was released by the Princeton Vision and Robotics Laboratory in 2015. The main publishers are N. Sedaghat, M. Zolfaghari, E. Amiri and T. Brox. The related paper is "3D ShapeNets: A Deep Representation for Volumetric Shapes"

ModelNet.torrent
Seeding 3Downloading 1Completed 1,563Total Downloads 3,805
  • ModelNet/
    • README.md
      1.25 KB
    • README.txt
      2.5 KB
      • data/
        • ModelNet10.zip
          451.47 MB
        • ModelNet40.zip
          2.34 GB
        • modelnet40_auto_aligned.tar
          4.31 GB
        • modelnet40_manually_aligned.tar
          6.22 GB
    • samples_0.png
      6.22 GB

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ModelNet 3D Point Cloud Dataset | Datasets | HyperAI