Name: power-lines Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1251 images

Explore Dataset

Here are a few use cases for this project:

Infrastructure Maintenance: This model can be used by electric utility companies for automatic identification and inspection of power lines, chimneys, antennae, and wind turbines. By processing aerial or drone imagery, it can help in identifying maintenance issues, damage, or encroachments in the infrastructure.
Disaster Management: Used in scenarios involving natural disasters like storms, earthquakes, wildfires, etc. The model can process images or videos to identify the damage to infrastructures such as power lines, thereby assisting in quick response and repair.
Urban Planning: The model can aid urban planners and architects by identifying and mapping the existing infrastructure (power lines, wind turbines, etc.). This information can be useful when designing new construction projects or expansion of the urban landscape.
Environmental Impact Studies: This model can assist researchers in studying the impact of structures like power lines and wind turbines on local wildlife, by identifying and tracking these structures over a comprehensive geographical area.
Navigation Assistance for Autonomous Vehicles/Drones: The model can be part of a navigation system for autonomous vehicles or drones to avoid collisions with obstacles such as power-lines, wind-turbines, chimneys and antennas.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            power-lines_dataset,
                            title = { power-lines Dataset },
                            type = { Open Source Dataset },
                            author = { Mark Warren },
                            howpublished = { \url{ https://universe.roboflow.com/mark-warren/power-lines } },
                            url = { https://universe.roboflow.com/mark-warren/power-lines },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-04-19 },
                            }