I produced some very good results when using the "High Resolution Land Cover - USA" deep learning package with NAIP imagery. There is a relatively small number of unclassified (0) pixels in the raster output that I'm wondering if others have seen. In most cases, this seems to happen in areas where tree canopy is over a road or other impervious surface as shown below. I can easily fix this with the Image Analyst pixel editor, but wondered if this could be prevented somehow since it happened in two different years of imagery, one natural color and one IR. Has anyone else seen this? I used ArcGIS Pro 3.1 and associated deep learning libraries.
Impressive results though!