Traffic Congestion Dataset in Adverse Weather

#Target detection #object recognition #Traffic management #intelligent transportation #urban planning
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-09

AI Analysis & Value Prop

The current traffic industry faces challenges including the impact of weather changes on traffic flow. Under adverse weather conditions, traffic congestion becomes more pronounced. Existing traffic management systems often lack specific data support for traffic conditions under different weather scenarios, leading to less precise decision-making. This dataset aims to provide a rich collection of traffic congestion images in adverse weather, assisting researchers and developers in enhancing the intelligence level of traffic management. Data collection is carried out using high-resolution cameras at major city junctions around the clock, ensuring coverage of various weather conditions. Quality control involves multiple rounds of annotation and expert review mechanisms to ensure consistency and accuracy of annotations. The data storage format is JPEG, organized by folder classification, with each folder corresponding to a weather condition.

Dataset Insights

Sample Examples

01d98a9b**.jpg|5824*4368|1.18 MB

bae32411**.jpg|5824*4368|1.14 MB

41a3845d**.jpg|3024*4032|1.03 MB

dd3186c8**.jpg|5824*4368|1.24 MB

2a875992**.jpg|5824*4368|1.15 MB

Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/11265d34c9cbea9249c7dc975a4a9b15},
  urldate={},
  keywords={},
  version={}
}

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