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Dataset · Hugging Face

IRIS-Roadsafety/IRIS

IRIS: Infrastructure-aware Multimodal Reasoning for Road Safety Auditing with Regulatory Compliance We introduce IRIS, a multimodal framework for infrastructure-oriented road-safety auditing that combines synchronized egocentric video, inertial measurements, GPS, and a machine-readable Indian Roads Congress (IRC) knowledge graph. IRIS treats localized evasive events as complementary evidence, reasoning about their associated infrastructure conditions, locations, and compliance… See the full description on the dataset page: https://huggingface.co/datasets/IRIS-Roadsafety/IRIS.

Author / organizationIRIS-Roadsafety
License (as declared)cc-by-nc-4.0
Downloads4 (as reported by Hugging Face)
Likes0
Created23 October 2026
Last updated at source23 October 2026
IRISdrivingtwo-wheelermultimodalevasive-behavior-analysismultimodal-reasoning
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Recent changes

  • 23 Oct 2026 License: none → cc-by-nc-4.0
  • 23 Oct 2026 Description: none → IRIS: Infrastructure-aware Multimodal Reasoning for Road Safety Auditing with Regulatory Compliance We introduce IRIS, a multimodal framework for infrastructure-oriented road-safety auditing that combines synchronized egocentric video, iner
  • 23 Oct 2026 Topics added task_categories:video-classification, IRIS, driving, two-wheeler, multimodal, evasive-behavior-analysis, multimodal-reasoning

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 23 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.