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ImageNet

ImageNet is a large-scale hierarchical image database containing millions of labeled images, organized according to the WordNet hierarchy. It is widely used for training deep learning models for image classification.

Data and Resources

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Cite this as

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei (2024). Dataset: ImageNet. https://doi.org/10.57702/awmz6g4z

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.48550/arXiv.1910.05124
Citation
  • https://doi.org/10.48550/arXiv.1910.14488
  • https://doi.org/10.48550/arXiv.1911.07272
  • https://doi.org/10.48550/arXiv.1811.06965
  • https://doi.org/10.48550/arXiv.2103.16257
  • https://doi.org/10.18653/v1/D16-1043
  • https://doi.org/10.48550/arXiv.1912.12394
  • https://doi.org/10.48550/arXiv.1707.07012
  • https://doi.org/10.48550/arXiv.2012.08674
  • https://doi.org/10.48550/arXiv.2012.13716
Author Jia Deng
More Authors
Wei Dong
Richard Socher
Li-Jia Li
Kai Li
Li Fei-Fei
Homepage http://www.image-net.org/