Name: Solar Panel Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

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Explore Dataset

Here are a few use cases for this project:

Solar Panel Integrity Monitoring: The model could be used by utility companies or solar farm owners to conduct automatic inspection of their solar panels through drone footages or surveillance cameras, identifying any visible damage, deterioration or dirt obstruction.
Residential Solar Potential Assessment: Real estate companies or city planners could use the model to identify roofs with solar panels while doing surveys, allowing the estimation of renewable energy production capacity at a neighborhood or city level.
Solar Panel Installation Verification: Environmental agencies or regulators could use the model to verify that installations of new solar panels, claimed in tax credits or other incentives, have actually occurred.
Detection of Unauthorized Solar Installations: In regions where regulations require licenses for solar panel installations, authorities could use the model to detect unauthorized or unregistered installations from aerial or satellite images.
Smart Grid Management: Energy companies could use the model's capabilities to identify concentration of solar panels and predict energy output, which could be helpful in managing the supply and demand of a smart grid.

Cite This Project

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

@misc{
                            solar-panel-zitzr_dataset,
                            title = { Solar Panel Dataset },
                            type = { Open Source Dataset },
                            author = { TENSRAI },
                            howpublished = { \url{ https://universe.roboflow.com/tensrai/solar-panel-zitzr } },
                            url = { https://universe.roboflow.com/tensrai/solar-panel-zitzr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-06-26 },
                            }