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Adam Van Etten
Adam Van Etten

1.3K Followers

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Dec 2, 2022

Camouflaging the Camouflage

Note: This work is an extension of work performed under the auspices of IQT Labs. IQT Labs has explicitly stated that it has no intention of pursuing this topic, and encouraged the author to further explore and publish this project. Advanced computer vision object detectors are known to be susceptible…

Data Science

6 min read

Camouflaging the Camouflage
Camouflaging the Camouflage
Data Science

6 min read


Nov 29, 2022

CAMOLO — Adversarial Camouflage for Overhead Object Detection

In this blog we explore the efficacy and drawbacks of adversarial camouflage in an overhead imagery context. Note: This blog is a summary of our ArXiv paper. 1. Executive Summary While a number of recent papers have demonstrated the ability to reliably fool deep learning classifiers and object detectors with adversarial patches (see…

Machine Learning

8 min read

CAMOLO — Adversarial Camouflage for Overhead Object Detection
CAMOLO — Adversarial Camouflage for Overhead Object Detection
Machine Learning

8 min read


Nov 3, 2022

The Promises and Perils of Adversarial Camouflage

Foreword: This article first appeared in the IQT blog, reproduced here with permission. Executive Summary With the increasing availability of overhead imagery, machine learning is becoming a critical tool for analyzing this imagery. Advanced computer vision object detection techniques have demonstrated great success in identifying objects of interest such as…

Machine Learning

4 min read

The Promises and Perils of Adversarial Camouflage
The Promises and Perils of Adversarial Camouflage
Machine Learning

4 min read


Published in Geodesic

·Sep 6, 2022

Project Shackleton: Real-Time Routing with Satellite Imagery

When standard navigation techniques (i.e. Google Maps) are down and time is of the essence, how might one evacuate from (or position aid to) a hazardous locale? In this post we explore one option, which we call Project Shackleton. As we’ve noted before, in a disaster scenario (be it an…

Machine Learning

4 min read

Project Shackleton: Real-Time Routing with Satellite Imagery
Project Shackleton: Real-Time Routing with Satellite Imagery
Machine Learning

4 min read


Published in Geodesic

·May 10, 2022

Serving up SpaceNet Imagery for Bokeh

A lightweight codebase for building a local tile server for Bokeh applications — In our last post we discussed methods for vehicle localization, congestion detection, and optimized routing with the open-source Diet Hadrade repository. Diet Hadrade allows users to experiment with static images within a Jupyter notebook. As we look to build upon this functionality, one critical piece is tiling imagery rather than…

Data Science

3 min read

Serving up SpaceNet Imagery for Bokeh
Serving up SpaceNet Imagery for Bokeh
Data Science

3 min read


May 3, 2022

The Unforgiving Asymptote of Chasing Machine Learning Gains

Foreword: This blog first appeared on the IQT blog, and is the product of Adam Van Etten and Daniel Hogan. Reproduced here with permission. 1. Executive Summary Much ink has been spilled on systemic causes of hidden technical debt of machine learning systems (Sculley et al, 2015). Such issues include: “hidden feedback loops…

Machine Learning

9 min read

The Unforgiving Asymptote of Chasing Machine Learning Gains
The Unforgiving Asymptote of Chasing Machine Learning Gains
Machine Learning

9 min read


Apr 26, 2022

Synthesizing Robustness: Dataset Size Requirements and Geographic Insights

Foreword: This blog first appeared on the IQT blog as part of an ongoing IQT Labs research project exploring synthetic data and satellite imagery. Reproduced here with permission. 1. Introduction The RarePlanes satellite imagery dataset is rich enough to enable copious machine learning and object detection studies, particularly when coupled…

Machine Learning

6 min read

Synthesizing Robustness: Dataset Size Requirements and Geographic Insights
Synthesizing Robustness: Dataset Size Requirements and Geographic Insights
Machine Learning

6 min read


Published in Geodesic

·Feb 28, 2022

The Potent Mix of Machine Learning, Satellite Imagery, Vehicles, and Roads: Diet Hadrade

A lightweight machine learning codebase for aiding HADR (humanitarian assistance and disaster relief) Humanitarian crises, both natural and man-made, show no sign of abating in the near term given ongoing changes to the planet and society. Yet ever improving machine learning techniques hold the possibility of blunting some of the…

Data Science

8 min read

The Potent Mix of Machine Learning, Satellite Imagery, Vehicles, and Roads: Diet Hadrade
The Potent Mix of Machine Learning, Satellite Imagery, Vehicles, and Roads: Diet Hadrade
Data Science

8 min read


Published in Geodesic

·Feb 4, 2022

You Only Look Twice… Again.

Announcing the release of YOLTv5 Preface: This blog is part of a series describing the work done at Geodesic Labs. The YOLO family of deep learning object detection models has enjoyed remarkable longevity, with new versions still under active development seven years after the original paper release. We have actively…

Machine Learning

3 min read

You Only Look Twice… Again.
You Only Look Twice… Again.
Machine Learning

3 min read


Published in Geodesic

·Dec 21, 2021

From Pixels to Pathways

Announcing Geodesic Labs — Geodesic Labs was founded a couple years ago with the premise of leveraging remote sensing imagery and machine learning techniques to aid in situational awareness and decision optimization in austere environments. Specifically, the rapid extraction of both vehicles and road networks from imagery allows a host of interesting problems to…

Machine Learning

2 min read

From Pixels to Pathways
From Pixels to Pathways
Machine Learning

2 min read

Adam Van Etten

Adam Van Etten

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