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satellite-image-deep-learning

Robin Cole

Newsletter on deep learning with satellite & aerial imagery

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Substack
PricingOnly free issuesPublishesWeekly
Issues79Founded4 years agoLast Issue4 months ago
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Latest Issues

State Of The Art Object Detection

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 fas...

4 months ago
1

Tessera: A Temporal Foundation Model for Earth Observation

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 m...

4 months ago
9
1

AutoML for Spaceborne AI

In this episode I caught up with Roberto del Prete to learn about his work on AutoML for in-orbit model deployment, and how it enables satellites to run highly efficient AI models under severe power and hardware constraints. Roberto explain...

5 months ago
1

Methane Plume Detection with AutoML

In this episode I caught up with Julia Wąsala to learn about methane plume detection using AutoML, and how her research bridges atmospheric science and machine learning. Julia explains the unique challenges of working with TROPOMI data—extr...

5 months ago
5
1

Democratising access to GeoAI with InstaGeo

In this episode, I caught up with Ibrahim Salihu Yusuf from InstaDeep’s AI for Social Good team to hear the story behind InstaGeo, an open-source geospatial machine learning framework built to make multispectral satellite data easy to use f...

6 months ago
2

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  • Robin Cole

    Deep learning applied to satellite imagery

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