Geoai Retail
Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pixel_level_land_classification | 166 | 5 years ago | 4 | mit | Jupyter Notebook | |||||
| 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 | 10 | a year ago | HTML | |||||||
| Boundary detection using ArcGIS and ODM [Open Drone Map] | ||||||||||
| Geoai Retail | 7 | 4 years ago | 3 | apache-2.0 | Python | |||||
| Template for performing GeoAI retail analysis using ArcGIS and Machine Learning. | ||||||||||
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