Reviewing model architectures for building footprint extraction including naive approaches, model improvement strategies, and recent research.
In the second part of our Automated Building Footprint Extraction series, we review some evaluation metrics for building footprint extraction.
In the first installment of this three-part blog series, we summarize some of the latest research on automated building footprint extraction.
In this blog we demonstrate how an active learning approach can boost machine learning model performance with the human-in-the-loop workflow.
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.