AgentVQA: 1,000 human-verified examples to evaluate visual agents offline across 5 domains
liuzhuang1234 · x · 2026-10-24
Advait Gupta et al. introduce AgentVQA, a benchmark enabling offline evaluation of visual agents without running expensive online tasks. It contains 1,000 challenging, human-verified examples drawn from real-world agent scenarios across five domains: web agents, robotics, games, egocentric video, and spatial planning — ranging from locating CAPTCHA inputs on webpages and identifying a robot gripper's held object to counting Mario deaths and planning airport gate routes. It unifies agentic visual understanding evaluation in a single benchmark.
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