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 was introduced by the TrackNetV2 work. Following the dataset split defined by the authors, we use all the clips from 26 matches as a training set and the remaining 3 matches as a testing set.