Model Training & Adaptation
Data augmentation
Creating modified or additional training examples to improve robustness or coverage.
Example
An image dataset is expanded by rotating, cropping, and brightening existing pictures.
Why people use it
Understanding “Data augmentation” helps teams adapt models deliberately and diagnose training problems.
What you'll hear
“Would Data augmentation improve the model for our specific use case?”