Highlighted by Hyungjoo Cheon
From Data Augmentation Experimentation by Amrit Virdee
Working with limited data has its own challenges, using data augmentation can have positive results only if the augmentation techniques enhance the current data set for example is there any worth is training a network to ‘learn’ about a landmark in a flipped upside down orientation?