Labeling Satellite Imagery for Machine Learning
By Niki LaGrone on March 24th, 2020
Definitions and visuals of the most common ways to label satellite imagery for machine learning. Includes tips for managing annotations for each type.
America’s Cities are Sitting on a Gold Mine of Machine Learning Training Data
By Joe Morrison on February 2nd, 2020
Cities may not know it, but by nature of collecting and maintaining various datasets, they are sitting on a treasure trove of machine learning-ready training data.
The Future of Machine Learning AMA
By Lewis Fishgold, James McClain and Rob Emanuele on January 31st, 2020
3 of our machine learning engineers answer your questions about the future of machine learning.
Getting Started in Machine Learning AMA
By James McClain, Rob Emanuele and Lewis Fishgold on January 29th, 2020
3 of our machine learning engineers answer your questions about getting started with machine learning.
Building Footprint Comparison in Cambodia: Orbital Insight and OpenStreetMap
By Ross Bernet and Andrew Fink-Miller on January 23rd, 2020
We created a map that shows the difference between two building footprint datasets of Cambodia: OSM and Orbital Insights' AI generated dataset.
3 Ways to Analyze the Results of a Supervised Machine Learning Model
By Joe Morrison on December 13th, 2019
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.