juniorComputer Vision
What is data augmentation in Computer Vision?
Updated May 15, 2026
Short answer
Data augmentation artificially increases dataset size using transformations.
Deep explanation
Techniques include flipping, rotation, scaling, cropping, and color jittering to improve generalization.
Real-world example
Improving robustness of facial recognition systems.
Common mistakes
- Applying unrealistic transformations.
Follow-up questions
- Why is augmentation important?
- Can augmentation replace data collection?