Helmet Wearing Specification Action Recognition Dataset
#action recognition #safety detection #construction sites #coal mines #ports #high-risk operations
- Records
- 500 records
- Size
- 1.7G
- Format
- MP4/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
In the current security industry, construction site safety management faces many challenges, such as the frequent occurrence of accidents due to the improper wearing of helmets by workers. Existing monitoring systems mostly rely on manual review, which is inefficient and prone to errors. This dataset aims to train models to automatically identify whether workers are wearing helmets and the correctness of their wearing, through high-quality video data, thereby improving the efficiency of safety management. Data collection is conducted using high-definition cameras in real construction site environments to ensure environmental diversity and data authenticity. To ensure data quality, a multi-round annotation and expert review mechanism is used for strict quality control. The data is stored in MP4 format and organized by work location and time for easy retrieval and analysis. The data annotation adopts a combination of automated tools and manual verification to ensure consistency and accuracy of annotations.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
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 main purpose of the Hard Hat Wearing Compliance Action Recognition Dataset?
- The dataset is mainly used to recognize whether workers are wearing hard hats and whether they are wearing them properly, supporting intelligent monitoring and safety management in the security sector.
- What type of dataset is this?
- This dataset is a type of video understanding data, suitable for video modality analysis tasks.
- In which industries can the Hard Hat Wearing Compliance Action Recognition Dataset be applied?
- The dataset is primarily applied in the security industry, especially for safety monitoring and management in construction sites and industrial environments.
- How does this dataset support intelligent surveillance?
- By recognizing the hard hat wearing conditions of workers in videos, intelligent surveillance systems can detect and alert in real-time, enhancing safety management efficiency.
- Why is hard hat wearing compliance recognition important?
- Recognizing hard hat wearing compliance is crucial because it directly relates to worker safety, and non-compliance or lack of wearing may lead to serious safety incidents.
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Cite this Work
@dataset{Mobiusi2025,
title={Helmet Wearing Specification Action Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/10ee67df120ab4f0e24f6c68b35e80f0?dataset_scene_id=10},
urldate={2025-09-15},
keywords={helmet wearing, action detection, video dataset, security technology, construction site safety},
version={1.0}
}Using this in research? Please cite us.
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