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Pixel_level_land_classification ⭐ 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.

Aiforearth Landcover App ⭐ 7

A web mapping app to test, tweak and train the land cover classification from a deep neural network model built by @microsoft

Geoai Retail ⭐ 7

Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.

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