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unetseg

U-Net semantic segmentation for satellite imagery

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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

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.

Documentation

Bugs / Questions

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.

<a href="https://github.com/dymaxionlabs/unetseg/graphs/contributors"> <img src="https://contrib.rocks/image?repo=dymaxionlabs/unetseg" /> </a>

Made with contrib.rocks.

The current roadmap is available at GitHub at the projects page.

License

This project is licensed under Apache 2.0. Refer to LICENSE.txt.