Datasets › N-Omniglot

N-Omniglot

Introduced by Yang Li et al. in N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning25 Dec 2021 archive 2025-07-28

N-Omniglot is a neuromorphic dataset for few-shot learning. It contains 1,623 categories of handwritten characters, with only 20 samples per class.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • N-Omniglot

1 variant name, as the archive lists them.

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