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        "description": "# Label Maker\n## Data Preparation for Satellite Machine Learning\n\nThe tool downloads [OpenStreetMap QA Tile]((https://osmlab.github.io/osm-qa-tiles/)) information and satellite imagery tiles and saves them as an [`.npz` file](https://docs.scipy.org/doc/numpy/reference/generated/numpy.savez.html) for use in machine learning training.\n\n![example classification image overlaid over satellite imagery](examples/images/classification.png)\n_satellite imagery from [Mapbox](https://www.mapbox.com/) and [Digital Globe](https://www.digitalglobe.com/)_\n\n## Requirements\n- [Python 3.6](https://www.python.org/)\n- [tippecanoe](https://github.com/mapbox/tippecanoe)\n\n## Installation\n\n```bash\npip install label-maker\n```\n\nNote that running this library this requires `tippecanoe` as a \"peer-dependency\" and that command should be available from your command-line before running this.\n\n## Documentation\n\nFull documentation is available here: http://devseed.com/label-maker/\n\n## Acknowledgements\n\nThis library builds on the concepts of [skynet-data](https://github.com/developmentseed/skynet-data). It wouldn't be possible without the excellent data from OpenStreetMap and Mapbox under the following licenses:\n- OSM QA tile data [copyright OpenStreetMap contributors](http://www.openstreetmap.org/copyright) and licensed under [ODbL](http://opendatacommons.org/licenses/odbl/)\n- Mapbox Satellite data can be [traced for noncommercial purposes](https://www.mapbox.com/tos/#[YmtMIywt]).\n\nIt also relies heavily on Marc Farra's [tilepie](https://github.com/kamicut/tilepie) to asynchronously process vector tiles",
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