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 …

YOLOD – Improving neural nets for detecting packed cars in satellite imagery

Neural network research moves very quickly and it can be hard to keep up. In our work at Radiant Solutions, we use a variety of machine learning modalities. My team works with neural networks for segmentation, detection, and other imagery processing tasks, but our most common application is object detection. Detection is basically the task …

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. …

Track GIS Technician Work with the ELK Stack – Part 3

Part 3: Use Kibana to Visualize Data from Elasticsearch In this final part of the series, I’ll show you visualizations that can be done with Kibana using data in Elasticsearch. This is the fun part and there’s no coding required! Note: There are countless visualizations you can make in Kibana, but these are a few …

Track GIS Technician Work with the ELK Stack – Part 2

In Part 1 I introduced the concept of monitoring a GIS digitizing project in near real time with a website dashboard using the ELK (Elasticsearch, Logstash, and Kibana) stack. A dashboard can tell you up-to-the-minute details about how many objects have been digitized, how many of each type have been digitized, where they’ve been digitized, …

Track GIS Technician Work with the ELK Stack – Part 1

With great training data come great results. Object marking, otherwise known as digitizing, is when someone uses GIS software to outline and save ground features on a map for analysis. These manually drawn polygons serve as georeferenced objects (stored with lat/lon location metadata) that can be used as cookie cutters to isolate special features. For …

Searching for Cars

This summer, I started at DigitalGlobe as an intern focused on UI/UX Development. After a month, my team completed our assignment. So I joined the data science team to gain experience with machine learning. Newbie My first encounter with machine learning began with training an image classification model to recognize hand-written digits in DIGITS, NVIDIA’s …

Platform Hackathon!

Once a quarter, the DigitalGlobe Platform Team hosts a 3-day hackathon for developers to crack the GBDX platform open to new ideas, innovations, and inventions. My team from the Herndon office set out July 18th to hack the summer edition of the platform challenge. The Herndon team was comprised of some heavy-hitting data scientists, eager …

Introducing the Metis/DigitalGlobe Data Challenge

Last year, I completed the Metis Data Science Bootcamp in New York. I finished hiking the entire Appalachian Trail at the end of 2015, then spent 6 grueling months looking for a job. Once I accumulated a few hundred rejection letters, and it seemed like I wasn’t any closer to a job, I realized my skills …

What is Tomnod?

Out in the real world, one of the best ways to find things or people that are lost, whether lost keys or lost kids, is to recruit help to find them. In a nutshell, that’s what Tomnod is. In fact, it has been called a “virtual search party”. Tomnod is a crowdsourcing application that lets …