By Joe Morrison on October 9th, 2020
We joined with Radiant Earth at the Cloud Native Geospatial Sprint to run a labeling competition for non-technical folks. This resulted in over 2.3 million square kilometers mapped and lots of lessons learned.
By Joe Morrison on August 10th, 2020
Raster Vision is the interface between the fields of earth observation and deep learning, making it easier to apply novel computer vision techniques to geospatial imagery of all types. Joe lays out how it can be implemented in your organization and give you a competitive advantage.
By Niki LaGrone on July 21st, 2020
Mining the knowledge and expertise of your data labeling team will improve the data quality of your machine learning project and increase your team's productivity.
By Niki LaGrone on June 8th, 2020
When labeling for image classification is it faster to complete projects with single or multiple classes? We ran an experiment to find out.
By Niki LaGrone on April 9th, 2020
Could AI have saved Gabriel Fernandez’s life? Data and social scientists argue that machine learning might have kept him alive. What exactly is this potentially life-saving AI? Learn more about predictive risk modeling, how governments currently use similar AI, and the ethical questions such work raises.