MiniImagenet

The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.

Data and Resources

Cite this as

Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, Alexander S. Ecker (2024). Dataset: MiniImagenet. https://doi.org/10.57702/mztjqv1q

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.2407.01467
Citation
  • https://doi.org/10.48550/arXiv.2312.11078
Author Claudio Michaelis
More Authors
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
Homepage https://papers.nips.cc/paper/2016/file/3f5ff3d7c0c13b5d8d6e4e6b6d7f8.pdf