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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 …

Push and Pull

In the previous post, we’ve discussed the challenges of scaling object detection. We talked about how the traditional model of tiling images doesn’t quite fit because we need to be able to detect objects that span multiple tiles. In this post, we’ll examine the challenge of implementing a system that will do that efficiently. We …

Measuring Performance for Object Detectors – Part 2

This post is the second and final installment in my series about measuring the accuracy of models. In my last post, I talked about how to choose a method to score models. Now it’s time to use that method to score models against each other. Let’s start with a brief summary of the goal. We …

Frontness: Applications of Geospatial Object Detection

In my work on DeepCore, I have pleasure of being exposed to many of the applications that benefit from automated geospatial object detection. Machine learning is the key to unlocking data’s potential, and some of the applications are completely intractable without automated techniques. The DeepCore team has worked hard to develop software for these problems. …

Scaling Object Detection

Object detection in geospatial context presents some unique scalability challenges that are not normally tackled in the machine learning field. DeepCore attempts to address these challenges, though there’s still work to be done. In this post we will discuss these issues and show how DeepCore will address them in the future. In most applications, CNNs …