Use the model

1. Download the Road Extraction—Global model and add the imagery layer in ArcGIS Pro.
2. Zoom to an area of interest.

   

3. Click Tools on the Analysis tab.

   

4. Click the Toolboxes tab in the Geoprocessing pane, expand Image Analyst Tools, and select the Detect Objects Using Deep Learning tool under Deep Learning.

   

5. On the Parameters tab, set the parameters as follows:
   1. Input Raster—Select the imagery.
   2. Output Detected Objects—Set the output feature class that will contain the detected objects.
   3. Model Definition—Select the pretrained model .dlpk file.
   4. Model Arguments (optional)—Change the values of the arguments if required.
   5. Non Maximum Suppression—Optionally, check the check box to remove the overlapping features with lower confidence.

      If checked, do the following:

      • Set Confidence Score Field.
      • Set Class Value Field (optional).
      • Set Maximum Overlap Ratio (optional).

      

      Note:

      To access the model directly from ArcGIS Pro (supported in ArcGIS Pro 2.7 and later), click the browse button and search for the model.

      

6. On the Environments tab, set the values as follows:
   1. Processing Extent—Select Current Display Extent or any other option from the drop-down menu.
   2. Cell Size—Set the value to 1.

      The expected raster resolution is 1 meter.

   3. Processor Type—Select CPU or GPU.

      It is recommended that you select GPU, if available, and set GPU ID to the GPU to be used.

      

7. Click Run.

   The output layer is added to the map.