A-OKVQA Visual Question Answering Benchmark

A-OKVQA is a dataset for visual question answering that requires external knowledge and reasoning. The dataset was created by HuggingFaceM4 and was last updated in February 2024.

Use Cases

• Train models to answer knowledge-based questions about image content.
• Benchmark model performance on reasoning tasks requiring external world knowledge.
• Develop systems that link visual concepts in images to textual knowledge bases.

Strengths

• Designed for a challenging task requiring external knowledge beyond image recognition.
• Created and maintained by a recognized AI organization, HuggingFaceM4.

Limitations

• Specific dataset size, column details, and sample data are unavailable.
• The license and original data collection methodology are unknown.

Provenance

Source

HuggingFaceM4

Freshness

Last updated on 2024-02-08.