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.
Driver Micro Hand Gestures (DriverMHG) is a dataset for dynamic recognition of driver micro hand gestures, which consists of RGB, depth and infrared modalities.