
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 ... more
| Publishes | Monthly | Episodes | 42 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

In this episode I sat down with Kentaro Wada, a computer vision engineer at Mujin and creator of LabelMe, to explore the evolution of image annotation workflows. We discuss how his need to label data for a robotics challenge led to building one of th... more
In this episode I sat down with Hannah Kerner and Tristan Grupp to discuss Fields of The World (FTW), an open-source benchmark and ecosystem for global field boundary segmentation from satellite imagery. We explore the core challenge of building mode... more
In this episode I sat down with Isaac to discuss RF-DETR, a new state-of-the-art family of real-time object detection and segmentation models from Roboflow. We cover the motivation for building models that are not just accurate but also fast, cost-ef... more
In this episode I caught up with Sadiq Jaffer and Frank Feng to discuss Tessera, a large-scale foundation model for Earth observation that produces annual, pixel-level temporal embeddings from multi-sensor satellite data. They explain why moving beyo... more
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Apple Podcasts | #146 |
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This show centers on practical advances in AI applied to satellite imagery, featuring researchers and engineers who build and deploy geospatial machine learning systems. Recent episodes cover topics like AutoML and hardware-aware model design for spaceborne AI, methane detection from Sentinel-5B data, tools for social good such as InstaGeo, streamlined data access for Copernicus data, high-resolution solar fault detection from aerial imagery, and open-source geospatial ML libraries like TorchGeo. Guests often discuss real-world constraints (power, bandwidth, data availability), deployment challenges, data curation, and the evolving ecosystem of geospatial AI tools and collaborations. The format tends to blend technical depth with pragmatic ... more
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Satellite image deep learning launched 3 years ago and published 42 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Satellite image deep learning include:
1. Adam Stewart
2. Shahab Jozdani
3. Kai Jeggle
4. Daniele Rege Cambrin
5. Giorgio Morales
6. Caleb Robinson
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