I am trying to train a learner where I have two datasets in two different folders and I want to use both of them to form my imagedatabunch. How can I do so?
The easiest way to do this is to just make sure the two folders are under some parent folder. If you make it such that the folder structure looks like
And use the datablock api
from_folder and pass the path
./train_folder (assuming train_folder is in the current directory) it will automatically recurse through all folders and find all files ( you might need to fiddle with the extensions argument to get only the file types you want).
Link for everything that makes this very clear: https://docs.fast.ai/data_block.html#ItemList.from_folder
Very Helpful Post …!! dqfansurvey thanks for sharing with us.