Hi! Apologies in advance if my question is inappropriate or if this is not the place where it should be posted.
Anyway, I’m referring to statefarm-sample.ipynb, where a validation set and a sample are created for the State Farm dataset (which comprises just train and test in its vanilla version).
The notebook begins by entering the train directory, then creates the appropriate directories. Note that at no point a valid/ folder is created in the dataset root (rather it is only created in sample/).
Then, the script generated the sample set by shuffling train, picking 1500 imgs, and copying them into sample/train.
Immediately afterwards (we still are in dataset-root/train/), the following magic command is issued:
But no such folder exists, since the original dataset didn’t have a validation dir.
So, I gather I have NOT to reshuffle my ‘g’. Instead, I should just pick the following 1000 images, create a dataset-root/valid/ folder, and copy those images in it.
Am I right?