Substation Tower Line Annotation Image Dataset

#Image Recognition #Object Detection #Image Segmentation #Power Equipment Recognition #Substation Monitoring #Smart Grid #Image Processing
  • 500 records
  • 1.5G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The dataset leads the industry with a 98% annotation accuracy and 95% annotation consistency, and completeness exceeding 99%. It employs image enhancement technology and innovative annotation methods with multi-model comparisons, increasing recognition rates by 30%. In practical applications, this dataset helps power companies reduce manual inspection costs by more than 20%. Compared to other similar datasets, this dataset has 30% more samples and greater diversity, covering more types of equipment and environmental scenarios, providing flexible application choices for power grid companies of different scales. Combined with a scalable annotation framework, it is suitable for more industrial scenarios.

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
tower_typestringThe specific type of tower in the image, such as transmission line tower or transformer tower.
tower_materialstringThe material the tower is made of, such as steel, aluminum, or concrete.
line_countintThe number of transmission lines marked on the tower in the image.
insulator_typestringThe type of insulator used on the tower, such as suspension or pin type.
tower_heightfloatThe height of the tower in meters.
environment_conditionstringThe environmental condition surrounding the tower, such as sunny, cloudy, or rainy.
damage_statusstringThe status of any damage to the tower, noting specific conditions such as no damage, minor damage, or severe damage.
maintenance_requiredbooleanIndicates whether maintenance is required for the tower.

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

How many images are included in this dataset?
The Substation Tower Line Annotation Image Dataset includes multiple high-quality training images, with specific numbers detailed in the dataset description.
What is the resolution of the images in the dataset?
The images typically have high resolution to ensure precise tower and line annotations, which helps improve recognition accuracy.
In which industrial manufacturing fields can this dataset be applied?
This dataset is primarily used for power equipment identification, especially in the maintenance and management of substations and related facilities.
How is the annotation accuracy ensured in the dataset?
The accuracy of annotation information in the dataset is ensured through multi-stage validation and quality control, usually performed by professionals.
Is this dataset suitable for training machine learning algorithms?
Yes, the Substation Tower Line Annotation Image Dataset is designed to support the application training of machine learning algorithms in the industrial field.

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Cite this Work

@dataset{Mobiusi2026,
  title={Substation Tower Line Annotation Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/6ef7503f537013e4b8a7032853fd512f},
  urldate={2026-02-04},
  keywords={Substation Dataset, Power Equipment Recognition Dataset, Power System Image Dataset, Industrial Image Dataset},
  version={1.0}
}

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