Chapter 4: The Art of Not Caring About Your Sanity

By now, you should have a basic understanding of computer vision. But let's face it, you're still a mess. Your models are overfitting, your data is a mess, and your sanity is slipping away. Welcome to Chapter 4, where we teach you the art of ignoring all of this and just going with it.

Remember, the key to success in computer vision is not understanding the intricacies of the field, but rather, the ability to pretend you do.

So, let's move on to the chapter's main content. Here are the steps to ignore your sanity and still get the job done:

Step 1: Ignore your conscience. You're a machine learning engineer, not a doctor.
Step 2: Use a pre-trained model, it's fine. Who needs domain-specific knowledge, anyway?
Step 3: Overfit, overfit, overfit. Your model will thank you.
Step 4: Use a lot of noise in your data. It's like a game of 'beat the model'.
Step 5: Don't test your model. It's not like it's going to fail or anything.