WRI hired Azavea to perform a software architectural review to evaluate the technical organization of Global Forest Watch.
WRI hired Azavea to perform a software architectural review to evaluate the technical organization of Global Forest Watch.
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.
Remote sensing instruments like NASA’s GEDI, which is mounted to the Japanese Experiment Module – Exposed Facility (JEM-EF) on the International Space Station (ISS), produce a massive amount of data and one of the tools scientists use when working with those data is a geo-locator–a geographic coordinates search engine. GEDI, launched in 2018, is the…
We refactored the Raster Vision codebase from the ground up to make it simpler, more consistent, and more flexible. Check out Raster Vision 0.12.
Incorporate high-resolution satellite imagery into your labeling projects for free.
When labeling for image classification is it faster to complete projects with single or multiple classes? We ran an experiment to find out.
In an attempt to avoid relying on polling in a front-end application or third-party services, we attempt servicing asynchronous notifications over websockets using only PostgreSQL and Scala.
I’m going to come right out and say it: prototyping is the most powerful tool in your UI/UX tool belt. Let me clarify. I still think of prototyping as one of the many ways to extract valuable information and iterate on a design–like user research or card sorting–but I now put prototyping at the top…
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.
Definitions and visuals of the most common ways to label satellite imagery for machine learning. Includes tips for managing annotations for each type.