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Tiny ImageNet

Tiny ImageNet is a smaller version of the ImageNet dataset designed for visual recognition tasks, containing 200 classes with 500 training images and 50 validation images per class.

Data and Resources

Cite this as

Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh (2024). Dataset: Tiny ImageNet. https://doi.org/10.57702/47hkty3j

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.1016/j.neunet.2021.08.003
Citation
  • https://doi.org/10.48550/arXiv.2002.12920
Author Kaidi Xu
More Authors
Zhouxing Shi
Huan Zhang
Yihan Wang
Kai-Wei Chang
Minlie Huang
Bhavya Kailkhura
Xue Lin
Cho-Jui Hsieh
Homepage https://tiny-imagenet.herokuapp.com/