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.
ShoeV2 is a dataset of 2,000 photos and 6648 sketches of shoes. The dataset is designed for fine-grained sketch-based image retrieval.