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.