ChocolateDave/imagenet-32

Downsampled ImageNet Dataset

The downsampled ImageNet dataset with 32x32. Original implementation can be found at https://patrykchrabaszcz.github.io/Imagenet32/. The dataset contain exactly the same number of images as the original ImageNet, i.e., 1,281,167 training images from 1,000 classes and 50,000 validation images with 50 images per class.

Citation

@inproceedings{deng2009imagenet,
  title={Imagenet: A large-scale hierarchical image database},
  author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
  booktitle={2009 IEEE conference on computer vision and pattern recognition},
  pages={248--255},
  year={2009},
  organization={IEEE}
}
@misc{chrabaszcz2017downsampledvariantimagenetalternative,
  title={A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets}, 
  author={Patryk Chrabaszcz and Ilya Loshchilov and Frank Hutter},
  year={2017},
  eprint={1707.08819},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/1707.08819}, 
}