Transmission Line Vegetation Hazard Prediction Image Dataset
#Image Classification #Object Detection #Intelligent Monitoring #Smart Grid #Energy Resource Management #Forestry Monitoring
- 500 records
- 1.5G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
With the global increase in energy demand, the safety and reliability of transmission networks have become particularly important. However, vegetation growth near transmission lines may lead to power interruptions, which is one of the challenges faced by the current industry. Existing manual inspection and monitoring methods are not able to meet the needs of large-scale applications due to high costs and low efficiency. This dataset aims to automatically detect and predict vegetation hazards around transmission lines through image recognition technology, improving inspection efficiency and accuracy. Data collection uses high-resolution drone cameras to capture transmission lines and their surrounding environment under various weather and lighting conditions. Quality control is ensured through multiple rounds of manual annotation, cross-validation, and review by forestry experts. The annotation team consists of professionals with experience in power and vegetation management, exceeding 50 people in size. Data preprocessing includes image correction, noise filtering, and image enhancement steps, stored in classified folders on a cloud platform.
Dataset Insights
Sample Examples
e2623b2d**.jpg|1760*4096|1.74 MB
8cbcbc7b**.jpg|4032*3024|3.15 MB
bec4b49e**.jpg|1920*1080|316.87 KB
6f0604f5**.jpg|1920*2560|965.64 KB
13e33d92**.jpg|1920*2560|557.24 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vegetation_density | float | The density of vegetation in the image. |
| tree_height | float | The approximate height of trees in the image. |
| distance_to_lines | float | The approximate distance from vegetation to power transmission lines in the image. |
| line_visibility | boolean | Whether the power transmission lines are clearly visible in the image. |
| vegetation_type | string | The predominant type of vegetation in the image. |
| hazard_level | integer | The identified hazard level of vegetation in the image, where 1 is low and 3 is high. |
| weather_conditions | string | The weather conditions at the time the image was captured. |
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 |
Frequently Asked Questions
- What are the application scenarios of the Power Transmission Line Vegetation Risk Prediction Image Dataset?
- This dataset is used in the energy sector to enhance the efficiency of vegetation management around power transmission lines by predicting potential risks to reduce hazards.
- What are the advantages of the Power Transmission Line Vegetation Risk Prediction Image Dataset?
- The dataset provides high-quality image data that can help analyze and predict vegetation growth near transmission lines, improving the accuracy and timeliness of management decisions.
- How can the Power Transmission Line Vegetation Risk Prediction Image Dataset be used for vegetation monitoring?
- This dataset can be used to train models to automatically identify and assess the potential threats of vegetation to transmission lines, thereby enabling effective vegetation monitoring and management.
- Who are the target users of the Power Transmission Line Vegetation Risk Prediction Image Dataset?
- The target users of this dataset include energy companies, environmental management agencies, and researchers who need to conduct vegetation management and risk prediction around transmission lines.
- How does the Power Transmission Line Vegetation Risk Prediction Image Dataset help improve grid security?
- This dataset helps identify potential risks that could threaten grid security by providing detailed information about vegetation conditions around transmission lines, allowing for timely intervention and management.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Transmission Line Vegetation Hazard Prediction Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/693c6b3f5d7a41807ce771cdde0c50b9?dataset_task_cate_id=11},
urldate={2026-02-04},
keywords={Transmission Line Monitoring, Vegetation Hazard Prediction, Energy Management Image Dataset},
version={1.0}
}Using this in research? Please cite us.
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