Skip to main content

Data preparation for satellite machine learning

Project description

Label Maker

Data Preparation for Satellite Machine Learning

The tool 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for label-maker, version 0.5.1
Filename, size & hash File type Python version Upload date
label-maker-0.5.1.tar.gz (19.0 kB) View hashes Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page