Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset.
Tiny-ImageNet-C is an open-source data set comprising algorithmically generated corruptions (blur, noise) applied to the Tiny-ImageNet (ImageNet-200) test-set.
