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An overview of the Deep Learning toolset in Raster Analysis

This toolset contains tools that detect specific features in an image or classify pixels in a raster dataset.

ToolDescription

Classify Pixels Using Deep Learning

Runs a trained deep learning model on an input raster to produce a classified raster, with each valid pixel having a class label assigned.

Detect Objects Using Deep Learning

Runs a trained deep learning model on an input raster to produce a feature class containing the objects it finds. The features can be bounding boxes or polygons around the objects found, or points at the centers of the objects.

Tools of the Deep Learning toolset in Raster Analysis

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