Tunnel Construction Site Safety Helmet Wearing Detection Image Dataset
#object detection #image classification #safety monitoring #tunnel construction safety #building construction safety #industrial site safety monitoring
- 500 records
- 1.6G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
Currently, safety management at tunnel construction sites faces severe challenges, with frequent accidents, especially those leading to casualties due to not wearing safety helmets. Existing manual monitoring methods are inefficient, costly, and do not provide comprehensive coverage, making it difficult to achieve all-day dynamic monitoring. This dataset aims to solve the problem of automatically recognizing the wearing conditions of safety helmets at construction sites to meet safety supervision needs. Data acquisition uses high-definition camera equipment at tunnel construction sites, involving multiple construction stages and different weather conditions. Data quality is ensured through three rounds of review by a professional annotation team, including experts with a background in safety engineering. Data preprocessing includes steps such as image enhancement, denoising, etc., stored in structured JPG format to ensure easy retrieval and processing.
Dataset Insights
Sample Examples
2adee5a7**.jpg|1920*2560|828.49 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| has_hardhat | boolean | This field indicates whether the individual in the image is wearing a hardhat. |
| person_count | int | The total number of individuals appearing in the image. |
| hardhat_color | string | The color of the hardhat in the image, if worn. |
| person_position | string | The position of individuals in the image, which can indicate potentially unsafe locations. |
| scene_brightness | float | The average brightness of the image, used to assess lighting conditions. |
| is_blurry | boolean | Determines if the image is blurry to assess clarity. |
| safety_rating | string | A safety rating based on the image content, such as 'High', 'Medium', 'Low'. |
| helmet_coverage | float | The proportion of the head covered by the hardhat, ranging from 0 to 1. |
| weather_conditions | string | Inferred weather conditions at the time of the image capture, such as sunny or cloudy. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 |
Frequently Asked Questions
- What is the tunnel construction site safety helmet wearing detection image dataset?
- The tunnel construction site safety helmet wearing detection image dataset is an image dataset used to detect the safety helmet wearing condition of personnel at construction sites, primarily used in the safety protection field.
- What are the application scenarios for this dataset?
- This dataset can be used to develop and train image recognition systems to automatically detect whether workers at tunnel construction sites are wearing safety helmets, thus enhancing safety management levels at the site.
- Why is safety helmet wearing detection important in tunnel construction sites?
- Wearing safety helmets correctly at construction sites is a crucial measure to prevent head injuries. Using this dataset can help automate the identification of situations where safety helmets are not worn, enhancing the safety of site personnel.
- How can these image data be used to improve construction safety?
- The image data can be used to develop intelligent monitoring systems that detect and alert about individuals not wearing safety helmets in real-time, helping construction managers take timely measures to ensure safety.
- Which technical personnel is this dataset suitable for?
- This dataset is suitable for technical personnel involved in computer vision, machine learning, and safety management, for research and development of related detection algorithms and systems.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Tunnel Construction Site Safety Helmet Wearing Detection Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/6e3a9bff89a02277e30ea5c11d5b8140},
urldate={2026-02-04},
keywords={tunnel construction safety, safety helmet detection, image recognition, safety monitoring dataset},
version={1.0}
}Using this in research? Please cite us.
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