ABOUT THIS PODCAST 🔗
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
www.satellite-image-deep-learning.com
www.satellite-image-deep-learning.com
Hosts:
Update frequency:
every 24 days
Average audio length:
25 minutes
Guest interviews
English
United States
49 episodes
since Jan. 26, 2023
episodic
LATEST EPISODE 🔗
In this episode I sat down with Petya Kangalova and Kshitij Sharma from the Humanitarian OpenStreetMap Team (HOT) to discuss how GeoAI and community-driven mapping are being combined to support disaster response and humanitarian action. We explore how HOT works with local communities to generate tr…
SEARCH PAST EPISODES
Search past episodes of Satellite image deep learning.
PREVIOUS EPISODES 🔗
In this episode I caught up with Ash Alex and Jimin Seo, co-founders of Hyades, to discuss BlazerOps, an agentic platform for building machine-learning models and pipelines for geospatial data. They explain how the platform aims to make spatial ML faster and more accessible, helping engineers autom…
In this episode I sat down with Joe Redmond from the Allen Institute for AI (AI2) to discuss OlmoEarth, AI2's open geospatial foundation model for Earth observation. Joe explains how the project emerged from AI2's environmental and climate initiatives, where partners needed practical tools for anal…
In this episode I sat down with Lakshay Sharma, a machine learning scientist at Instacart and former member of Microsoft’s geospatial AI team, to discuss self-supervised learning for remote sensing and his recent research on efficient pretraining for semantic segmentation. Lakshay explains the evol…
In this episode I sat down with Jennifer Marcus and Isaac Corley from Taylor Geospatial to explore Fields of the World - an open initiative to create globally consistent agricultural field boundary datasets from satellite imagery using AI and cloud-native geospatial infrastructure. Taylor Geospatia…
In this episode I sat down with Mikolaj (Miko) Czerkawski from Asterisk Labs to explore BetaEarth, an experimental open-source emulator trained on AlphaEarth Foundations' public embedding archive. AEF — released by Google and Google DeepMind as a global 10 m embedding product derived from a wide ra…
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 the most widely used open-source annotation tools, …
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 models that generalise across vastly different agricu…
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-efficient, and deployable across diverse hardware a…
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 beyond single-date imagery is essential for understan…
Disclaimer: The podcast and artwork embedded on this page are from Robin Cole, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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