Dataset for Detecting Illegal Standing Under Lifting Operations

#behavior recognition #anomaly detection #safety monitoring #site management #accident prevention
  • 500 records
  • 1.6G
  • MP4/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-13

AI Analysis & Value Prop

In industrial sites, illegal behavior by personnel often results in serious safety hazards. Current monitoring systems struggle to identify and respond to these dangerous behaviors in real-time, leading to frequent accidents. This dataset aims to solve this issue by providing rich video data of illegal standing behavior under lifting operations, aiding the development of more effective monitoring and early warning systems. Data collection was conducted using high-definition cameras in real construction site environments, focusing on illegal behavior under the paths of lifting objects. To ensure data quality, we implemented multiple rounds of annotation and expert reviews to guarantee data accuracy and consistency. All videos are saved in MP4 format and organized by timestamps to facilitate subsequent analysis and training.

Dataset Insights

Sample Examples

94f7a5b8**.mp4|960*540|2.20 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 dataset for illegal standing detection under hoisting operations?
The dataset for illegal standing detection under hoisting operations is a video dataset designed to identify and detect if there are individuals standing illegally in areas below hoisting operations on construction sites to enhance safety monitoring.
In which fields can this dataset be used?
This dataset is primarily used in the industrial sector, particularly for safety monitoring on construction sites.
How to improve the effectiveness of safety monitoring on construction sites?
By using this dataset, models can be trained to automatically detect illegal standing under hoisting operations, allowing for timely identification and action, thus improving safety monitoring effectiveness on construction sites.
What is the data modality of this dataset?
The data modality of this dataset is video.
How is the illegal standing detection dataset under hoisting operations applied to model training?
The videos in this dataset can be used to train deep learning models to recognize and detect illegal standing behaviors under hoisting operations, enhancing automated safety monitoring capabilities on construction sites.
Why is detecting illegal standing under hoisting operations important?
Standing under hoisting operations is a highly dangerous behavior; detecting these actions can prevent accidents, reduce safety risks, and provide a safer working environment on construction sites.

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Cite this Work

@dataset{Mobiusi2025,
  title={Dataset for Detecting Illegal Standing Under Lifting Operations},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/2eb7a0b018ecd6a2ad0dedb8a1967017},
  urldate={2025-09-15},
  keywords={lifting operations, illegal standing detection, safety monitoring dataset, event detection dataset},
  version={1.0}
}

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