SurveillanceVQA: 589K Visual Question Answering Pairs

SurveillanceVQA 589K is a dataset for visual question answering tasks, likely containing image-question-answer pairs. The dataset was created by author fei213 and was last updated on Hugging Face on 2025-05-16 03:52:51. Its specific content, such as the source and nature of the surveillance imagery, requires verification after download.

Use Cases

• Train a model for visual question answering on surveillance footage (inferred from domain, verify after download)
• Benchmark multimodal reasoning in security and monitoring contexts (inferred from domain, verify after download)
• Fine-tune vision-language models on domain-specific imagery (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform.
• Last updated on 2025-05-16 03:52:51.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

Author fei213 on Hugging Face.

Collection Method

Unknown.

Time Range

Unknown.

Freshness

Last updated 2025-05-16 03:52:51.

Geography

Unknown.