Wind Turbines detection from Overhead Images Computer Vision Project
Updated 3 years ago
169
6
Here are a few use cases for this project:
-
Renewable Energy Sector: Companies in this sector can use the model to detect and map the location of wind turbines across large land areas using satellite or drone imagery. This information can help in evaluating the performance and total power output from these turbines.
-
Conservation Efforts: Environmental organizations can use this technology to identify locations of wind turbines and analyze their impact on local ecosystems. For example, identifying turbine proximity to bird migration routes.
-
Urban Planning: Planners can use this model to identify where wind turbines are situated in relation to residential and urban zones, aiding in planning for noise pollution control and visual impact assessment.
-
Maintenance and Inspection: Energy companies can use the model to identify turbines from overhead images and schedule routine maintenance inspections, which would help around tracking the health and functionality of each turbine.
-
Disaster Response: In the event of a natural disaster such as a storm or hurricane, this model could be used to quickly assess the damage to wind farms from aerial imagery, aiding in prioritizing repair and recovery efforts.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
wind-turbines-detection-from-overhead-images_dataset,
title = { Wind Turbines detection from Overhead Images Dataset },
type = { Open Source Dataset },
author = { Mykola Kozyr },
howpublished = { \url{ https://universe.roboflow.com/mykola-kozyr/wind-turbines-detection-from-overhead-images } },
url = { https://universe.roboflow.com/mykola-kozyr/wind-turbines-detection-from-overhead-images },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-12-10 },
}