Robosat
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
About
Robosat is a software tool designed for semantic segmentation of aerial and satellite imagery. It utilizes machine learning techniques to extract features such as buildings, parking lots, roads, water, and clouds from the images. This tool is particularly useful for users working with geographic data and those involved in mapping and urban planning.
Open Source Health
- Stars
- 2,065
- Forks
- 385
- License
- MIT
- Last commit
- 3 months ago
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Vendor
Mapbox
Publisher of MCP Server, Robosat and Mason
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