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Tiny ImageNet

The paper presents a dataset called Tiny ImageNet, which consists of a reduced labeled image sample with 200 classes, each class having 500 training, 50 validation, and 50 testing images.

Data and Resources

Cite this as

Raja Sunkara, Tie Luo (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 December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2308.11443
Citation
  • https://doi.org/10.48550/arXiv.2308.15405
  • https://doi.org/10.1016/j.neucom.2019.10.008
  • https://doi.org/10.48550/arXiv.1905.07072
  • https://doi.org/10.48550/arXiv.2308.15457
  • https://doi.org/10.48550/arXiv.2205.10660
  • https://doi.org/10.1109/TCYB.2019.2908387
  • https://doi.org/10.48550/arXiv.2312.11548
  • https://doi.org/10.48550/arXiv.2407.16139
  • https://doi.org/10.1109/ICCV.2019.00506
Author Raja Sunkara
More Authors
Tie Luo
Homepage https://www.image-net.org/