Dataset Preparation

This section explains how to prepare datasets for training machine learning models. Topics include:

1. Annotation: Guidelines for labeling data.
2. Splitting: Dividing data into training, validation, and test sets.
3. Augmentation: Techniques to increase dataset diversity.