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Pretrained AI Models
Ready-to-Use Geospatial Deep Learning Models available in the ArcGIS Living Atlas of the World.
This story map walks you through several examples of how Esri's pretrained models can be used to extract features, classify land cover or detect objects in imagery, point clouds or even video. To explore all the pretrained models, check out Living Atlas . Some of these are shown below:
Feature Extraction
Building Footprint Extraction (USA)
Imagery: High resolution satellite imagery Geographies: United States
Building Footprint Extraction (Africa)
Imagery: High resolution satellite imagery Geographies: Africa
Road Extraction (North America)
Imagery: High resolution satellite imagery Geographies: United States, Canada
Swimming Pool Detection
Imagery: High resolution satellite imagery Geographies: United States
Car Detection
Imagery: Drone imagery (5-20 cm) Geographies: United States
Solar Panel Detection
Imagery: Drone imagery (5-15 cm) Geographies: United States
Shipwreck detection
Imagery: Bathymetric Attribute Grid (BAG) Geographies: Global
Ship Detection
Imagery: Synthetic Aperture Radar (SAR) Geographies: Global
Land Cover Classification
Land Cover Classification (Sentinel 2)
Imagery: Sentinel-2 (10m resolution) Geographies: Europe and United States
Land Cover Classification (Landsat 8)
Imagery: Landsat-8 (30m resolution) Geographies: United States
Human Settlements (Landsat 8)
Imagery: Landsat-8 (30m resolution) Geographies: United States
Human Settlements (Sentinel 2)
Imagery: Sentinel-2 (10m resolution) Geographies: Europe and United States
Point Cloud Classification
Power Line and Tree Point Classification
Input data: Unclassified Point Clouds Geographies: Global