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Software Engineering

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".
Viridis color scheme applied to analysis of part of the U.S.

Software Engineering

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.
Haskell logo overtop of Raster Foundry imagery.

Software Engineering

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 applied to the city of Georgetown, Guyana.

Software Engineering

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 badge of a rocket shooting into space overtop a photograph of the night sky.

Software Engineering

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.
Machine learning that identifies fields overtop of the original geography.

Software Engineering

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.
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