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3 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.
Microsoftstreetsideplugin
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12
Microsoft Streetside Plugin
Dams
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6
Deep Learning part of the NatGeo-Microsoft Dams Project
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