Image tagging Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Power Line Maintenance: Utilities companies can use the "Image Tagging" model to identify various elements of power lines such as spacers, insulators, towers, and dampers to conduct routine inspections and monitor for maintenance.
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Drone Inspection System: The model can be integrated into drone inspection systems for power transmission infrastructure. The drone can capture images and the model can tag the various components, making it easier to identify possible points of damage or wear.
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GIS Mapping for Energy Sector: The model can be used to tag images in GIS (Geographic Information System) applications for mapping of the power transmission infrastructure. This would provide a geographically accurate visual representation of the components of the power system.
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Training Machine Learning Models: Images tagged by the model can be used to train other machine learning models that could automize the detection and prediction of potential faults or failures in power transmission infrastructure.
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Infrastructure Planning and Development: Engineers can use the tagged images to understand the placement and density of power line components (like spacers, insulators, towers, damper) better helping in efficient planning and development of new infrastructure.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
image-tagging_dataset,
title = { Image tagging Dataset },
type = { Open Source Dataset },
author = { new-workspace-zkjiz },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-zkjiz/image-tagging } },
url = { https://universe.roboflow.com/new-workspace-zkjiz/image-tagging },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { feb },
note = { visited on 2024-12-03 },
}