L

Lawn

Satellite imagery lawn cost estimator using ML segmentation

Built bySpence
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Current: Building
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About

Point at a property on a map, and computer vision segments the lawn area from satellite imagery to estimate landscaping costs. React frontend with Leaflet mapping, Python backend running PyTorch models and OpenCV for image segmentation. The ML pipeline identifies grass, hardscape, trees, and structures to calculate usable lawn area. Built to explore whether satellite imagery plus ML can replace manual quoting for lawn care services.

💻 Tech Stack

Core languages and frameworks

PythonTypeScriptReactPyTorch

🤖 AI Tools Used

AI assistants and tools that helped build this project

No AI tools listed

☁️ Infrastructure

Hosting, databases, and deployment tools

Docker

Tags

computer-visionsatellite-imageryml-segmentationmapping

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Project Details

Categorytool
CreatedFebruary 11, 2026

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