Solar Panel Computer Vision Dataset
About Solar Panel Dataset
Here are a few use cases for this project:
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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.
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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.
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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.
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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.
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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.
Use Free Solar-panel Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "solar-panel"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If 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 2026-07-29 },
}