An Introduction to Machine Learning Accuracy Metrics
By Joe Morrison on July 31st, 2019
How accurate of a machine learning model can you make? It depends on how we decide to define "accurate".
Introducing WMS and WCS Support for GeoTrellis and Raster Foundry
By Nathan Zimmerman on July 3rd, 2019
Raster Foundry and GeoTrellis now support WMS and WCS standards, enabling streamlined workflows that utilize multiple data sources.
Lessons in Functional API Development from Haskell’s Servant and Http4s
By James Santucci on May 20th, 2019
As a 10% time project, we replicated a small piece of the Raster Foundry backend code in Haskell, using servant for the REST interface and postgresql-simple for database interaction.
Raster Vision 0.9 Release Candidate
By Lewis Fishgold on April 15th, 2019
This release of Raster Vision includes bug fixes, an easier setup, improved performance, and the ability to train models off of labels in OSM.
Aster Vision – A New Open Source Framework for Deep Learning on Astrospatial Imagery and Space Exploration
By James Santucci on April 1st, 2019
Aster Vision is an open source machine learning library for analyzing huge troves of astrospatial data and finding habitable planets around nearby stars.
Mapping Africa: Crowdsourced Machine Learning
By Justin Polchlopek on February 21st, 2019
We leveraged our ability to process raster imagery, our open sources libraries, and our knack for machine learning to map agricultural fields in Africa.