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.
VideoLT is a large-scale long-tailed video recognition dataset that contains 256,218 untrimmed videos, annotated into 1,004 classes with a long-tailed distribution.