Datasets › Omni-Image
Omni-Image
Omni-Image is built as a challenging but tractable dataset for continual learning and few-shot learning.
Omni-Image is a few-shot image classification task. It is a class-consistent subset of ImageNet images that mirrors the shallow-and-wide dataset shape of Omniglot. It contains 1000 classes with 20|100 images each, downsized to 84x84 pixels.
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 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
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
- Omni-Image
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections