VIABench: Video Benchmark for Visual Impairment Assistance

A video benchmark collected from blind individuals for evaluating AI assistance models. The dataset, created by MCG-NJU, is designed for tasks like Proactive Reminder and Visual Question Answering. It was last updated on 2026-07-17.

Use Cases

• Train models for proactive navigation assistance based on ongoing video streams.
• Benchmark Visual Question Answering (VQA) performance for environmental understanding.
• Develop AI assistants that can anticipate and verbally describe critical events for blind users.

Strengths

• Data is specifically collected from blind individuals, providing a relevant source for assistive technology development.
• Benchmark includes at least two distinct evaluation tasks: Proactive Reminder and Visual Question Answering.

Limitations

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

Provenance

Source

MCG-NJU via Hugging Face

Collection Method

Collected from blind individuals, according to the description.

Freshness

Last updated 2026-07-17 02:49:33; freshness should be verified.