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.
This dataset contains 500K high photo-real rendered images of 10 real head models with (yaw, pitch, roll) head pose labels. Each head is rendered with a different pose and environmental lighting.