Mobiusi

Dataset for Detection of Illegal Parking Actions in Tunnels

#Action recognition #behavior analysis #Traffic monitoring #safety management #intelligent transportation systems
  • 500 records
  • 1.3G
  • MP4/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

In the transportation industry, illegal parking behavior in tunnels causes serious safety hazards and traffic congestion. Existing monitoring systems often fail to accurately identify these behaviors in real-time. Current solutions lack targeted action detection capabilities, making it difficult to manage and control effectively. To improve tunnel traffic safety and efficiency, this dataset aims to accurately detect and analyze illegal parking and slow-moving behaviors in tunnels through high-quality video data. Data collection uses HD cameras in various environments to ensure coverage of different lighting and weather conditions. Quality control measures include multiple rounds of annotation and expert review to ensure annotation consistency and accuracy. Data is stored in MP4 format, with video files sorted by time for easy subsequent analysis and processing.

Dataset Insights

Sample Examples

76185534**.mp4|1280*720|4.58 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
qualitystringResolution

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

Frequently Asked Questions

What is the Tunnel Illegal Parking Action Detection Dataset?
The Tunnel Illegal Parking Action Detection Dataset is a video dataset used to identify parking or slow-moving behavior in tunnels, mainly applied in the traffic industry.
Why is the Tunnel Illegal Parking Action Detection Dataset important?
This dataset is crucial for enhancing traffic safety in tunnels as it helps detect and identify potential traffic violations, thereby improving the efficiency and effectiveness of traffic management.
How can the Tunnel Illegal Parking Action Detection Dataset be used for video analysis?
This dataset can be used with video analysis algorithms to detect and identify parking or slow-moving phenomena in tunnel videos, enabling the algorithm to recognize violations and generate corresponding alerts or reports.
What traffic application scenarios is this dataset mainly suitable for?
This dataset is primarily suitable for scenarios such as tunnel monitoring in traffic surveillance systems, automatic illegal parking detection systems, and traffic violation analysis.
What is the data modality of the Tunnel Illegal Parking Action Detection Dataset?
The data modality of this dataset is video, focusing on capturing and analyzing the dynamic behavior of vehicles within a tunnel.

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Cite this Work

@dataset{Mobiusi2025,
  title={Dataset for Detection of Illegal Parking Actions in Tunnels},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/a9cfb225d7ccfc405d6529dcc180a21b},
  urldate={2025-09-15},
  keywords={illegal parking in tunnels, action detection dataset, traffic monitoring data, video analysis},
  version={1.0}
}

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