ImageNet-32

The ImageNet-32 dataset is a subset of the ImageNet dataset, containing 1,281,167 training samples and 50,000 test samples, distributed across 1,000 labels.

Data and Resources

Cite this as

Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran (2024). Dataset: ImageNet-32. https://doi.org/10.57702/aeelnqr9

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2102.04761
Citation
  • https://doi.org/10.48550/arXiv.2312.13236
Author Niki Parmar
More Authors
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam Shazeer
Alexander Ku
Dustin Tran
Homepage http://www.image-net.org/