robosat
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Extract features like buildings and roads from aerial and satellite images using a specialized tool.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSemantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
robosat has 2.1k stars on GitHub. It has been forked 387 times. robosat is written mainly in Python. It has been in active development since 2018. robosat is available under the MIT license. Its main topics are aerial-imagery, machine-learning, openstreetmap, satellite-imagery.
What is robosat?
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Is robosat open source?
robosat is an open-source project. It is released under the MIT license.
Is robosat free?
Yes. robosat is free and open source — you can use, modify and self-host it.
What license does robosat use?
robosat is available under the MIT license.
What language is robosat written in?
robosat is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mapbox-robosat.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.