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Rooftop
Teerathap/Rooftop
Rooftop is a machine learning model from Teerathap. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
AI-powered roof detection for solar panel installation analysis using YOLOv8.
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Public
Updated Dec 11, 2025
Repo size
151 MB
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At a glance
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- 17d02a5b
Spaces
Model card
From the Hugging Face model README
🏠 Roof Detection API
AI-powered roof detection for solar panel installation analysis using YOLOv8.
Features
- Detect roof segments from satellite imagery
- Calculate solar potential for each roof
- Return detailed analysis including:
- Roof type (Cement, Concrete, Metal, Other)
- Area in square meters
- Recommended system size
- Annual energy production
- Financial savings
- Payback period
API Usage
Via Gradio Interface
Simply enter latitude and longitude coordinates.
Via API
from gradio_client import Client
client = Client("Teerathap/roof-detection-api")
result = client.predict(
lat=13.7563,
lng=100.5018,
api_name="/predict"
)
print(result)
Model
- YOLOv8 trained on Thai rooftop dataset
- 4 classes: Cement, Concrete, Metal, Other
Author
Teerathap Solutions
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025