Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items

Google (United States) · Northwestern University

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Abstract

Interactive 3D simulations have enabled break-throughs in robotics and computer vision, but simulating the broad diversity of environments needed for deep learning requires large corpora of photo-realistic 3D object models. To address this need, we present Google Scanned Objects, an open-source collection of over one thousand 3D-scanned household items released under a Creative Commons license; these models are preprocessed for use in Ignition Gazebo and the Bullet simulation platforms, but are easily adaptable to other simulators. We describe our object scanning and curation pipeline, then provide statistics about the contents of the dataset and its usage. We hope that the diversity, quality, and flexibility…

Citation impact

309
total citations
FWCI
23.96
Percentile
100%
References
82
Citations per year

Authors

8

Topics & keywords

Keywords
  • Computer science
  • License
  • Artificial intelligence
  • Pipeline (software)
  • Flexibility (engineering)
  • Deep learning
  • Object (grammar)
  • Quality (philosophy)
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