I’m wondering if it is possible to use the cleaner to view the top losses so I can easily review those and delete them from the dataset if needed?
Basically use the output of
interp.plot_top_losses as the sort order for
My thinking was if the model was incorrectly predicting specific images (birds) then perhaps removing those would help with accuracy?
I’m using the CUB_200_2011 dataset
I’m on chapter 3 so maybe something like this is covered later, but so far the course is extremely helpful!