thinQmaster Virtual testing partner Adaptive practice exams that find your weak spots and drill them. Every answer explained. From $69
Enroll

thinQmaster

Find your exam

Five questions free, before you decide.

Step 1 · choose a vendor

In one of our camps? Your practice exams come with the tuition — they are on your study page already.

AI & Machine Learning · Intermediate

Data Augmentation

Expanding a training set by creating modified copies of existing examples.

Definition

For images, augmentation includes flips, rotations, crops and color jitter; for text, paraphrasing, back-translation or synthetic generation; for audio, noise and pitch shifts. It improves robustness and reduces overfitting when data is scarce.

Example

Randomly flipping and cropping product photos during each training epoch.

Exam tip

Augment only the training data; validation and test data must reflect real inputs.

Related terms