Data augmentation is the process to increase the diversity of dataset by using synthetic data generation. Normally, when using data augmentation, we have to sequentially augment the image from the datasets. However, this method gives the unaltered image with one figure chances.
From the above reason, there is a modification of data augmentation into two methods.
This approach is to modify the data augmentation processes (Figure 1) to have
- 50% chance to get the unmodified image