TUMTraffic-VideoQA

From the catalogue. Listed by one researcher from one source page.

• id: tumtraffic-videoqa
• kind: language and reasoning annotation
• robot or device: roadside cameras (class: sensor only)
• how collected: infrastructure recording, QA annotation
• size as stated: 1,000 videos, 85,000 QA pairs
• hours: not stated | hours only claimed: none | episodes: not stated
• year: 2025
• organisation: TUM
• licence: not stated (class: not stated)
• access: open (class: open)
• link (paper): https://arxiv.org/abs/2502.02449

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