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.
ARC Ukiyo-e Faces is a large-scale (>10k paintings, >20k faces) Ukiyo-e dataset with coherent semantic labels and geometric annotations through augmenting and organizing existing datasets with automatic detection.