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Label Maker

This version of Label-Maker has been modified from the one offered by DevelopmentSeed, in order to support 4-bands (or more) imagery for tiles computation and data preparation.
4 bands satellite images (Near-Infrared + RGB) are nowadays more and more accessible and near-infrared band usually adds valuable information to datasets.

Data Preparation for Satellite Machine Learning

Label Maker downloads OpenStreetMap QA Tile information and satellite imagery tiles and saves them as an .npz file for use in machine learning training.

example classification image overlaid over satellite imagery satellite imagery from Mapbox and Digital Globe

Requirements

Installation

pip install label-maker

Note that running this library this requires tippecanoe as a "peer-dependency" and that command should be available from your command-line before running this.

Documentation

Full documentation is available here: http://devseed.com/label-maker/

Acknowledgements

This library builds on the concepts of skynet-data. It wouldn't be possible without the excellent data from OpenStreetMap and Mapbox under the following licenses:

It also relies heavily on Marc Farra's tilepie to asynchronously process vector tiles

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Data Preparation for Satellite Machine Learning

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  • Python 100.0%