Mobiusi

Transmission Line Foreign Object Suspension Detection Dataset

#Target detection #event recognition #Power inspection #safety monitoring #anomaly detection
  • 500 records
  • 1.3G
  • MP4/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-13

AI Analysis & Value Prop

With the increasing demands on inspections in the power industry, traditional manual inspection methods face challenges such as low efficiency and high error rates. Although existing video surveillance technology can provide broad coverage, it still falls short in the precision and real-time detection of foreign objects. This dataset aims to address the detection of foreign object suspension on transmission lines, meeting the needs for automated inspections. The data are sourced from drone line inspection videos and power inspection images, strictly annotated and screened to ensure high-quality samples. Data collection uses high-resolution camera equipment under various weather conditions, covering multiple geographic locations. Quality control is ensured through multiple rounds of annotation and expert review to maintain annotation consistency. The data are stored in MP4 format, organized as video sequences for easy subsequent processing and analysis.

Dataset Insights

Sample Examples

131016ba**.mp4|720*1280|1.40 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 types of foreign objects does this dataset primarily include?
The dataset mainly includes various foreign objects that may affect power transmission lines, such as kites, plastic bags, and branches.
How are the videos in the dataset collected?
Videos are typically captured by drones or surveillance equipment, covering various weather and lighting conditions.
How can this dataset be applied in the power industry?
The dataset can be used to train automated detection systems, improving the efficiency and accuracy of power line inspections.
What should be considered when training models with this dataset?
When training models, the diversity of foreign objects in videos and different environmental conditions should be considered to ensure the generalization ability of the model.
Is this dataset suitable for real-time applications?
While the dataset can be used to train real-time detection models, the model performance needs to be optimized for specific application scenarios.

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Cite this Work

@dataset{Mobiusi2025,
  title={Transmission Line Foreign Object Suspension Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/4df050c59f9f4d434fe1d5e3c3cdc521},
  urldate={2025-09-15},
  keywords={transmission line detection, foreign object suspension, event detection dataset, power inspection data},
  version={1.0}
}

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