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.
Video: Using Convolutional Neural Networks to Automatically Analyze Aerial and Satellite Imagery
By Lewis Fishgold on September 6th, 2017
In this recording of our most recent Technical Staff Meeting, we walk through our team’s work on Raster Vision, a...
Deep Learning for Semantic Segmentation of Aerial and Satellite Imagery
By Lewis Fishgold and Rob Emanuele on May 30th, 2017
This post describes how to use deep learning to do semantic segmentation on aerial and satellite imagery, experiments on the ISPRS Potsdam dataset, and how to visualize model predictions on a map.