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.

Tools of the Deep Learning toolset in Raster Analysis

Tool	Description
Classify Pixels Using Deep Learning	Runs a trained deep learning model on an input raster to produce a classified raster, with each valid pixel assigned a class label.
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.