Metadata-Version: 2.1
Name: unetseg
Version: 0.1.2
Summary: U-Net semantic segmentation for satellite imagery
Home-page: https://github.com/dymaxionlabs/unetseg/
Author: Damián Silvani
Author-email: damian@dymaxionlabs.com
License: Apache-2.0
Project-URL: Documentation, https://unetseg.readthedocs.io/en/latest/
Description: # unetseg
        
        U-Net semantic segmentation for satellite imagery
        
        
        ## 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.
        
        ## Contributing
        
        Bug reports and pull requests are welcome on GitHub at the [issues
        page](https://github.com/dymaxionlabs/unetseg). This project is intended to be
        a safe, welcoming space for collaboration, and contributors are expected to
        adhere to the [Contributor Covenant](http://contributor-covenant.org) code of
        conduct.
        
        ## License
        
        This project is licensed under Apache 2.0. Refer to [LICENSE.txt](LICENSE.txt).
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Provides-Extra: testing
