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

Josh_Vosejpka

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!

PavanYadav

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