Hi Folks,
I'm trying to retrain this model: Land Cover Classification (Aerial Imagery) - Overview (arcgis.com)
I run label features for deep learning and then export training data for deep learning.
I then run train deep learning model, but get this error:
Exception: Could not infer dataset type. Please specify a supported dataset type or ensure that the path contains valid exported training data from ArcGIS. UnboundLocalError: local variable 'data_bunch' referenced before assignment
Is there a key parameter I'm missing?
@rescobar Can you please confirm that you followed steps outlined here https://doc.arcgis.com/en/pretrained-models/latest/imagery/finetuning-the-land-cover-classification-...
how many image chips do you have in your training data?
thanks
Pavan
Yes, I cannot get "Export Training Data For Deep Learning" to work out of the toolbox
How many image chips do I need? I have 500 chips using "Export Training Data For Deep Learning" from the "Label Objects for Deep Learning window".
If I use export training data for deep learning out of the tool box from a shapefile I get a different error:
ERROR 002088: Feature class has not enough information for supervised training.
@rescobar your feature class looks right to me. Try to use the Class Value Field parameter. If it does not work, please share it as a zip, I can try to investigate the issue at my end.
@rescobar thanks I will look into it.
@rescobar looks like rescobar_data has expired. can you please share again?