As one of seven pilot programs to address environmental issues in Africa, Azavea trained student workers to label satellite imagery using GroundWork and created a machine learning model to identify tree canopy.
As one of seven pilot programs to address environmental issues in Africa, Azavea trained student workers to label satellite imagery using GroundWork and created a machine learning model to identify tree canopy.
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.
Need to create a training dataset that contains multiple images? GroundWork launches “Campaigns” to help you handle large datasets for machine learning.
Responsible for the data labeling for a machine learning project? Here are some insights weโve developed while managing data labeling for machine learning.
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.
When labeling for image classification is it faster to complete projects with single or multiple classes? We ran an experiment to find out.
Could AI have saved Gabriel Fernandezโs 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.
ML’s predictive powers are driving a rage for deep learning in the crisis management and disaster relief industries. How can these powers be harnessed for ethical machine learning?
Machine learning on satellite imagery is revolutionizing disaster relief. What does ethical machine learning mean in this field?