That's my fork for optimising label-maker for Google Colab

I add argument -mbtiles for label-maker labels command

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

satellite imagery from Mapbox and Digital Globe

• Python 3.6
• tippecanoe

!git clone https://github.com/NickElixir/label-maker.git
os.chdir("label-maker")
!python setup.py install

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.

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

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:

• OSM QA tile data copyright OpenStreetMap contributors and licensed under ODbL
• Mapbox Satellite data can be traced for noncommercial purposes.

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