Introducing Raster Vision 0.12
By Lewis Fishgold on July 9th, 2020
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.
The Future of Machine Learning AMA
By Lewis Fishgold, James McClain and Rob Emanuele on January 31st, 2020
3 of our machine learning engineers answer your questions about the future of machine learning.
Getting Started in Machine Learning AMA
By James McClain, Rob Emanuele and Lewis Fishgold on January 29th, 2020
3 of our machine learning engineers answer your questions about getting started with machine learning.
Using Noisy Labels to Train Deep Learning Models on Satellite Imagery
By Lewis Fishgold on August 5th, 2019
How do noisy labels affect the accuracy of a deep learning model? We added different amounts of noise to the SpaceNet Vegas buildings dataset and trained some models to find out.
Raster Vision 0.9 Release Candidate
By Lewis Fishgold on April 15th, 2019
This release of Raster Vision includes bug fixes, an easier setup, improved performance, and the ability to train models off of labels in OSM.
Predicting Land Use in the Amazon using Deep Learning
By Lewis Fishgold and Annie Zhao on January 3rd, 2018
Learn about our methods and results leveraging our RasterVision deep learning project to predict land use in satellite images of the Amazon.