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 Cat Facial Landmarks in the Wild (CatFLW) dataset contains 2079 images of cats' faces in various environments and conditions, annotated with 48 facial landmarks and a bounding box on the cat’s face.