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.
A set of over 4000 dark corner artifact / vignette masks that can be applied to ISIC skin lesion images to test for the effect of such artifacts in classification tasks.