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.
NeuB1 is a microscopic neuronal image dataset for retinal vessel segmentation, which contains 112 images of size 512 x 152. The train/test split is 37/75.