satellite-image-deep-learning
Satellite image deep learning
The machine learning workflow at Development Seed with Ryan Avery
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The machine learning workflow at Development Seed with Ryan Avery

Ryan is an expert in developing machine learning-powered services for processing satellite and camera trap imagery

In this episode, Robin catches up with Ryan Avery to learn about the machine learning workflow at Development Seed. The making of this episode was inspired by a three part blog series Ryan has authored on the ML tooling stack used at Development Seed. Please note the video is also available on YouTube

- https://developmentseed.org/blog/2023-04-13-ml-tooling-3

- https://www.linkedin.com/in/ryan-avery-75b165a8/

Bio: Ryan is an expert in developing machine learning-powered services for processing satellite and camera trap imagery, and he is deeply passionate about leveraging machine learning to enhance environmental outcomes and improve livelihoods. In addition to his work at Development Seed, Ryan has made significant contributions to open-source. These include a comprehensive two-day geospatial python curriculum, an image segmentation model service, and a torchserve deployment of Megadetector for wildlife monitoring.

Discussion about this podcast

satellite-image-deep-learning
Satellite image deep learning
Dive into the world of deep learning for satellite images with your host, Robin Cole. Robin meets with experts in the field to discuss their research, products, and careers in the space of satellite image deep learning. Stay up to date on the latest trends and advancements in the industry - whether you’re an expert in the field or just starting to learn about satellite image deep learning, this a podcast for you. Head to https://www.satellite-image-deep-learning.com/ to learn more about this fascinating domain