Tunnel Accident Warning Sign Detection Dataset
#object detection #image recognition #accident detection #traffic safety #intelligent transportation
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
In the current transportation industry, tunnel accidents occur frequently, posing a great challenge to road safety. Although there are some monitoring systems, most cannot detect the status of warning signs in real time, resulting in slow responses. This dataset aims to enhance the recognition ability of object detection algorithms through high-quality annotated data, solving the problem of inaccurate recognition of warning signs in tunnels. Data is collected using high-resolution cameras under various lighting and weather conditions to ensure data diversity. Quality control measures include multiple rounds of annotation and expert reviews to ensure annotation accuracy and consistency. Data is stored in JPG format, accompanied by JSON files that record annotation information, facilitating subsequent processing and analysis. The core advantage of this dataset is its high data quality, with annotation accuracy of over 95% and good consistency. The use of new data augmentation techniques improves the generalization ability of the model. Experiments show that compared to traditional datasets, the trained model's accuracy in tunnel sign recognition tasks increased by 15%. Additionally, the application value of this dataset lies in significantly reducing traffic accidents and improving traffic safety.
Overview
Dataset Insights
Preview
Sample Examples
2ae5574d**.jpg|3072*4096|702.23 KB
9fbc8ff3**.jpg|2048*1536|382.50 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| sign_type | string | Identify the type of warning sign in the image. |
| sign_location | string | Description of the specific location of the sign within the tunnel. |
| sign_condition | string | The physical condition of the sign, such as intact or damaged. |
| illumination_level | string | Overall illumination level of the tunnel in the image, such as bright or dim. |
| visibility | string | Visibility of the sign in the image, such as clear or blurred. |
| sign_color | string | Color information of the warning sign in the image. |
| image_clarity | string | Clarity level of the image, such as high-definition or low-definition. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What is the Tunnel Accident Warning Sign Detection Dataset?
- The Tunnel Accident Warning Sign Detection Dataset is an image dataset used for studying and detecting warning signs in tunnels, aiming to enhance object detection capabilities.
- What types of data are included in the Tunnel Accident Warning Sign Detection Dataset?
- The dataset includes images of warning signs within tunnels related to traffic, suitable for object detection tasks.
- How can the Tunnel Accident Warning Sign Detection Dataset enhance traffic safety technology?
- By training and testing machine learning models with this dataset, the accuracy of automated detection systems in recognizing tunnel warning signs can be improved, thereby enhancing traffic safety technology.
- What are the main application scenarios for tunnel accident warning sign detection?
- Main application scenarios include intelligent transportation systems, tunnel environment recognition for autonomous vehicles, and safety monitoring in traffic management systems.
- Why is the Tunnel Accident Warning Sign Detection Dataset important for intelligent transportation?
- Accurate recognition of warning signs inside tunnels can effectively prevent accidents and ensure the safe passage of vehicles through tunnels, which is crucial for intelligent transportation systems.
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Cite this Work
@dataset{Mobiusi2025,
title={Tunnel Accident Warning Sign Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/290a11a6b856584acfdb2a840fdb928b?dataset_scene_id=1},
urldate={2025-09-15},
keywords={tunnel accident, warning sign detection, object detection dataset, traffic safety},
version={1.0}
}Using this in research? Please cite us.
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