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.
AiTLAS: Benchmark Arena is an open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).