OpenSpaceNet User Guide

OpenSpaceNet is our command line tool built on our DeepCore SDK that allows a user to download, perform object detection, and manipulate geospatial vector files. We felt it would be a good idea to give examples and descriptions of OpenSpaceNet’s most popular features. We hope that with this guide you can also create detections that look …

Validation and Verification of Machine Learning Detections using Tomnod

In our blog post entitled Discovering Pattern of Life Activity using Machine Learning, we described how the output from a machine learning algorithm can aid in characterizing human activity over time. We did this by counting all the objects from certain categories like planes, trains and automobiles and then view the results in aggregate. This …

AWS re:Invent – Gathering Machine Learning Training Data with Amazon Mechanical Turk

AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community. The event features keynote announcements, training, certification opportunities and more than 1,000 technical sessions. This year, Radiant Solutions was provided the opportunity to give one of those technical sessions on gathering machine learning training data for satellite imagery. …

Introduction to the OpenSpaceNet User Interface

In this video tutorial we’ll give a brief overview of OpenSpaceNet, our easy-to-use interface that enables you to automatically detect objects in satellite imagery, using the latest in machine-learning technology. If you have any questions, please feel free to Contact Us. A complete transcript of the video is available here. Thanks for checking out OpenSpaceNet, …