Data augmentation is a machine learning strategy that enables the users to increase the data diversity for training models remarkably from internal and external sources within an enterprise. This does not require any new data collection.
Modification in images is one of the most helpful examples of data augmentation. We can easily perform the following activities on an image and modify it :
* Deforming
* Adding noise
* Modifying colors
* Resizing the image
* Flipping it horizontally or vertically
