ML for Understanding Satellite Imagery at Scale with Kyle Story
TWiML Talk 173
Today we’re joined by Kyle Story, computer vision engineer at Descartes Labs.
Kyle and I caught up after his recent talk at the Google Cloud Next Conference titled “How Computers See the Earth: A Machine Learning Approach to Understanding Satellite Imagery at Scale.” We discuss some of the interesting computer vision problems he’s worked on at Descartes, including custom object detectors and the company’s geovisual search engine, covering everything from the models they’ve developed and platform they’ve built, to the key challenges they’ve had to overcome in scaling them.
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About Kyle
Mentioned in the Interview
- “How Computers See the Earth: A Machine Learning Approach to Understanding Satellite Imagery at Scale.”
- Descartes Labs
- Descartes Labs Geovisual Search
- OpenStreetMap
- Kaggle Planet Dataset
- LandSat Dataset
- Sentinal Dataset
- TWiML Presents: Series page
- TWiML Events Page
- TWiML Meetup
- TWiML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0
Originally published at twimlai.com on August 16, 2018.
