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2 search results found
Pixel_level_land_classification
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166
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Drone Land Survey
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10
Boundary detection using ArcGIS and ODM [Open Drone Map]
Geoai Retail
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7
Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.
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