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The DownLinQ
Rapid advances in machine learning are changing the geospatial domain. Explore CosmiQ's technical findings, market research and general thoughts here. Learn more at cosmiqworks.org.
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SpaceNet 7 Results: ‘Tis the Season
SpaceNet 7 Results: ‘Tis the Season
Preface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…
Adam Van Etten
Dec 17, 2020
The SpaceNet 7 Multi-Temporal Urban Development Challenge: Announcing the Winners
The SpaceNet 7 Multi-Temporal Urban Development Challenge: Announcing the Winners
Preface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…
Adam Van Etten
Dec 2, 2020
Deploying the SpaceNet 7 Baseline on AWS
Deploying the SpaceNet 7 Baseline on AWS
Adapted by Daniel Hogan from a post by Adam Van Etten and Nick Weir
Daniel Hogan
Sep 25, 2020
SpaceNet 6: Expanded Dataset Release
SpaceNet 6: Expanded Dataset Release
By Jake Shermeyer and Daniel Hogan
Jake Shermeyer
Sep 23, 2020
The SpaceNet 7 Multi-Temporal Urban Development Challenge Algorithmic Baseline
The SpaceNet 7 Multi-Temporal Urban Development Challenge Algorithmic Baseline
Preface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…
Adam Van Etten
Aug 27, 2020
You Only Look Once — Multi-Faceted Object Detection w/ RarePlanes
You Only Look Once — Multi-Faceted Object Detection w/ RarePlanes
Performing complex object detection using YOLOv5 on CosmiQ Works’ RarePlanes Dataset
Ari Chadda
Aug 21, 2020
Solaris Model Deployment: From Start to Finish
Solaris Model Deployment: From Start to Finish
Demystifying geospatial deep learning with In-Q-Tel CosmiQ Works’ Solaris
Roshan Ram
Aug 14, 2020
The SpaceNet Change and Object Tracking (SCOT) Metric
The SpaceNet Change and Object Tracking (SCOT) Metric
Daniel Hogan and Adam Van Etten
Daniel Hogan
Aug 13, 2020
The Machine Learning Utility Manifold for Satellite Imagery
The Machine Learning Utility Manifold for Satellite Imagery
Preface: The work summarized here stems from research conducted by Ryan Lewis, Jake Shermeyer, Daniel Hogan, Nick Weir, Dave Lindenbaum…
Adam Van Etten
Aug 12, 2020
SpaceNet Turns Four
SpaceNet Turns Four
Preface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…
Ryan Lewis
Aug 10, 2020
The SpaceNet 7 Multi-Temporal Urban Development Challenge: Dataset Release
The SpaceNet 7 Multi-Temporal Urban Development Challenge: Dataset Release
Preface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for…
Adam Van Etten
Aug 6, 2020
SpaceNet 6: Winning Model Release
SpaceNet 6: Winning Model Release
We open-source the SpaceNet 6 prize winning algorithms for extracting building footprints with SAR data
Jake Shermeyer
Jul 29, 2020
SpaceNet 6: Data Fusion and Colorization
SpaceNet 6: Data Fusion and Colorization
Can colorizing synthetic aperture radar data with a deep learning network really help to improve you ability to detect buildings?
Jake Shermeyer
Jul 22, 2020
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