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PUG_Animals

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PUG Animals

The PUG: Animals dataset contains 215,040 pre-rendered images based on Unreal-Engine using 70 animal assets, 64 environments, 3 sizes, 4 textures, under 4 camera orientations. It was designed with the intent to create a dataset with variation factors available. Inspired by research on out-of-distribution generalization, PUG: Animals allows one to precisely control distribution shifts between training and testing which can provide better insight on how a deep neural network generalizes on held out variation factors.

LICENSE

The datasets are distributed under the CC-BY-NC, with the addenda that they should not be used to train Generative AI models.

Citing PUG

If you use one of the PUG datasets, please cite:

@misc{bordes2023pug,
      title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning}, 
      author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
      year={2023},
      eprint={2308.03977},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

To learn more about the PUG datasets:

Please visit the website and the github