Remote Sensing Image Segmentation with AI: Hands-On Workshop with the Segment Anything Model

Built upon Meta’s Segment Anything Model (SAM), the SAMGeo Python package brings advanced segmentation capabilities to geospatial data. This hands-on workshop is tailored for geospatial enthusiasts, researchers, and professionals eager to unlock the potential of GeoAI in their projects.
Participants explore how to leverage SAMGeo for accurate and efficient image segmentation of satellite and aerial imagery. The workshop includes step-by-step demonstrations and practical exercises covering:
Introduction to SAM and SAMGeo: Learn the architecture and functionality of SAM and its transformative applications in geospatial analysis.
Data Preparation: Prepare geospatial datasets with multi-spectral channels for segmentation tasks.
Hands-On with SAMGeo: Leverage SAMGeo to segment geospatial features (e.g., buildings, trees, water bodies) using prompts such as point coordinates, bounding boxes, and text.
Postprocessing Techniques: Calculate geometric properties of segmented features, filter results, and extract meaningful insights.
Data Visualization: Visualize object masks and segmented features in standard geospatial formats for analysis and reporting.
By the end of the workshop, participants will gain practical experience applying SAMGeo to real-world geospatial challenges and leave equipped with new tools to elevate their geospatial data workflows.
The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) - the UN specialized agency for information and communication technology - in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.
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