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.
The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel.
Each instance is a 3x3 region.