Adjusting the dataset

[frankvp11]

Hello!
I am really happy with the project that you have put forward. However, there is a problem that I could use your help in fixing with the dataset.
The dataset includes many letters/numbers that are similar to one another. What I mean is, a handwritten be is often mis-interpreted as a 6 - even by humans. There are many such letters, which I would like to take out of the dataset. I kindof did this by doing !rm -rf {directory} on the images that I didn't want to include, however the model still predicts them nonetheless. How can I circumvent this?

Edit: I'm sure it has something to do with editing the CSV, and I'm currently trying to figure this stuff out via your dataprocessing.ipynb file, but i'm struggling