VQA With COCO Annotated No Images: Visual Question Answering Annotations

A dataset of annotations for Visual Question Answering (VQA) tasks based on the COCO dataset. The dataset was uploaded by author 'ryanramos' to the Hugging Face platform and was last updated on April 3, 2023. The specific number of rows, column structure, and license information are not provided in the available metadata.

Use Cases

• Train Visual Question Answering models based on structured question-answer pairs.
• Benchmark VQA model performance using established COCO-derived annotations.
• Analyze linguistic patterns in questions and answers for multimodal AI tasks.

Strengths

• Based on the established COCO dataset, a common benchmark in computer vision.
• Last updated timestamp is explicitly provided: 2023-04-03 05:26:33.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

ryanramos on Hugging Face

Freshness

Last updated 2023-04-03 05:26:33; freshness should be verified.