The Azavea Cloud Dataset
By James McClain on August 2nd, 2021
Azavea is releasing a dataset consisting of 32 unique Sentinel-2 tiles with cloud labels produced by humans.
Labeling SAR Imagery for Machine Learning: A Beginners Guide
By Niki LaGrone on April 27th, 2021
SAR imagery is having a moment. In this blog we explore what exactly it is, why it is so special, and tips for labeling it.
Introducing Raster Vision 0.13
By Adeel Hassan on April 26th, 2021
This release presents a major jump in Raster Vision's power and flexibility. The newly added features allow for finer control of the model training as well as greater flexibility in ingesting data.
GroundWork Launches Campaigns
By Niki LaGrone on March 31st, 2021
Need to create a training dataset that contains multiple images? GroundWork launches "Campaigns" to help you handle large datasets for machine learning.
Cloud Detection in Satellite Imagery
By James McClain on February 8th, 2021
We compare the results of two machine learning models that detect clouds in Sentinel-2 satellite imagery and share pointers about models you can try for yourself.
STAC Labeling Competition — Video Recap
By Joe Morrison on January 18th, 2021
Hear from labeling competition participants on why this diverse group of people came together, from across the world, to collaborate on a hallmark training dataset compliant with the STAC standard.