Data augmentation is a technique for synthesizing new data by modifying existing data in such a way that the target is not changed, or it is changed in a known way.
Computer vision is one of fields where data augmentation is very useful. There are many modifications that we can do to images:
- Resize
- Horizontal or vertical flip
- Rotate
- Add noise
- Deform
Modify colors Each problem needs a customized data augmentation pipeline. For example, on OCR, doing flips will change the text and won’t be beneficial; however, resizes and small rotations may help.
