Is This a Crosswalk?: 5 Takeaways from Training a Data Labeling Team
By Niki LaGrone on September 13th, 2019
We trained remote computer vision workers to provide data labeling for machine learning projects. Here's what we learned.
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.
An Introduction to Machine Learning Accuracy Metrics
By Joe Morrison on July 31st, 2019
How accurate of a machine learning model can you make? It depends on how we decide to define "accurate".
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.
Aster Vision – A New Open Source Framework for Deep Learning on Astrospatial Imagery and Space Exploration
By James Santucci on April 1st, 2019
Aster Vision is an open source machine learning library for analyzing huge troves of astrospatial data and finding habitable planets around nearby stars.
Accuracy is in the Eye of the Beholder
By Joe Morrison on February 13th, 2019
Accuracy in deep learning models is not as cut and dry as many present it to be. We examine several examples where accuracy is more of a judgment call.