Mobiusi/Welding-Workers-Without-Protective-Gear-Violation-Detection-Dataset

Welding Workers Without Protective Gear Violation Detection Dataset

In the current industrial field, welding operations pose significant safety risks, especially when workers do not wear necessary protective equipment, which can easily lead to eye injuries. However, existing safety monitoring systems mostly rely on manual inspection, which is inefficient and cannot provide real-time feedback. To effectively improve worker safety, this dataset aims to automatically recognize whether workers are wearing protective gear during the welding process using video monitoring technology and send alerts promptly. Data are sourced from multiple industrial welding sites, recorded around the clock using high-quality camera equipment to ensure the clarity and completeness of the videos. The data processing involves multiple rounds of labeling and expert review mechanisms to ensure consistency and accuracy in annotations. Data will be stored in MP4 format for subsequent deep learning model training and analysis.

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com