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OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

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About OASIS

We present Open Annotations of Single Image Surfaces (OASIS), a dataset for single-image 3D in the wild consisting of detailed 3D geometry for 140,000 images.

  • [Mar 2021] New: We have released OASIS V2, which includes annotations for an additional 102K images. Now available for download!


    • Publication

    OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

    Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng

    Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

    Paper  Bibtex 

    Acknowledgements

    This work was partially supported by a National Science Foundation grant (No. 1617767), a Google gift, and a Princeton SEAS innovation grant.