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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

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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/