Omni-Image

홈페이지 · 논문 1편

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.