Introducing: Raster Vision v0.20
By Adeel Hassan on January 5th, 2023
We outline Raster Vision V0.20, introducing new features, improved documentation, and an entirely new way to use the project.
A Human-in-the-Loop Machine Learning Workflow for Geospatial Data
By Adeel Hassan on September 28th, 2022
In this blog we demonstrate how an active learning approach can boost machine learning model performance with the human-in-the-loop workflow.
Change detection with Raster Vision
By Adeel Hassan on April 18th, 2022
This blog explores the direct classification approach to change detection using our open-source geospatial deep learning framework, Raster Vision, and the publicly available Onera Satellite Change Detection (OSCD) dataset.
A Tool to Highlight Underfunded and Under-resourced Communities: A Peek Behind the Technical Curtain of Headwaters Economics’ Rural Capacity Index
By Jillian Long and Adeel Hassan on March 30th, 2022
To address the disparity in access to funding resources, we partnered with Headwaters Economics to develop the Rural Capacity Index.
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.
Transfer Learning from RGB to Multi-band Imagery
By Adeel Hassan on August 30th, 2019
We used transfer learning to teach a model to take advantage of multi-band imagery without discarding the original RGB pre-training. This resulted in significant performance improvement.