High Resolution Landcover Classification, Pre-trained Deep Learning Model Arguments

Josh_Vosejpka — Thu, 04 Aug 2022 16:37:48 GMT

Hi all,

I've been using the pre-trained High Resolution Landcover Classification Deep Learning model recently, but I've been having a hard time finding answers as to what role the various arguments have in the model, specifically the arguments for "predict_background", "test_time_augmentation", and "detailed_classes".

I have used this model in the past, since then it looks like "test_time_augmentation", and "detailed_classes" have been added. If anyone would be able to provide a documentation link to these arguments it would be greatly appreciated.

Thanks in advance!

Re: High Resolution Landcover Classification, Pre-trained Deep Learning Model Arguments

PavanYadav — Fri, 12 Aug 2022 19:07:09 GMT

Hi @Josh_Vosejpka

Wondering if you have already looked at https://doc.arcgis.com/en/pretrained-models/latest/imagery/using-high-resolution-land-cover-classification-usa.htm
If you have follow up questions, please let us know.

Cheers
Pavan

topic Re: High Resolution Landcover Classification, Pre-trained Deep Learning Model Arguments in ArcGIS Image Analyst Questions

High Resolution Landcover Classification, Pre-trained Deep Learning Model Arguments

Re: High Resolution Landcover Classification, Pre-trained Deep Learning Model Arguments