facebook/PUG_ImageNet

PUG: ImageNet

The PUG: ImageNet dataset contains 88,328 pre-rendered images based on Unreal Engine using 724 assets representing 151 ImageNet classes with 64 environments, 7 sizes, 9 textures, 18 different camera orientations, 18 different character orientations and 7 light intensities. In contrast to PUG: Animals, PUG: ImageNet was created by varying only a single factor at a time (which explains the lower number of images than PUG: Animals despite using more factors). The main purpose of this dataset is to provide a novel, useful benchmark, paralleling ImageNet, but for fine-grained evaluation of the robustness of image classifiers, along several factors of variation.

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