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.
Contains16 burst images using smartphones for burst/video denoising, restoration, and enhancement tasks. The raw format are unified and saved SC_burst in ".MAT", where the raw data and metadata are stored.