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.
The VizWiz-VQA-Grounding dataset is a dataset that visually grounds answers to visual questions asked by people with visual impairments.
Training Set:
Validation Set:
Test Set: