U-Net semantic segmentation for satellite imagery
Project description
This digital tool is part of the catalog of tools of the Inter-American Development Bank. You can learn more about the IDB initiative at code.iadb.org
unetseg
U-Net semantic segmentation for satellite imagery
• Description • Contributing • Authors • License •
:information_source: Description
A set of classes and CLI tools for training a semantic segmentation model based on the U-Net architecture, using Tensorflow and Keras.
This implementation is tuned specifically for satellite imagery and other geospatial raster data.
:handshake: Contributing
Bug reports and pull requests are welcome on GitHub at the issues page. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
:man_technologist: Authors
- Damián Silvani: damian@dymaxionlabs.com
- María Roberta Devesa: ro.devesa@dymaxionlabs.com
- Gessica Paniagua: gessica@dymaxionlabs.com
- Federico Bayle: federico@dymaxionlabs.com
- Alan Toris
:page_facing_up: License
This project is licensed under Apache 2.0. Refer to LICENSE.txt.
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