Hello guys, recently I’ve going on a project that my objective is to get pictures from cars, extract its plate, segment each of the containing chars on the plate and then send it into a Neural Network to output me what os written in it.

I’m struggling in choosing the dataset.

My questions are:

1. Should I train it with two differents datasets? (i.e. MNIST for digits, get a checkpoint and then train with a character dataset afterwards)
2. Or should I use a dataset which cointain both numbers and chars? (probably this will be better, but I’m having hard times at finding one)

If you guys can help me with links or something I would appreciate

(I can send the github repo link if you guys wish)