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.
ROF is a dataset for occluded face recognition that contains faces with both upper face occlusion, due to sunglasses, and lower face occlusion, due to masks.