Deep Learning for Computer Vision

Augmentation techniques 

There are various ways to augment the images as described as follows: 

• Flipping: The image is mirrored or flipped in a horizontal or vertical direction
• Random Cropping: Random portions are cropped, hence the model can deal with occlusions
• Shearing: The images are deformed to affect the shape of the objects
• Zooming: Zoomed portions of images are trained to deal with varying scales of images
• Rotation: The objects are rotated to deal with various degrees of change in objects
• Whitening: The whitening is done by a Principal Component Analysis that preserves only the important data
• Normalization: Normalizes the pixels by standardizing the mean and variance
• Channel shifting: The color channels are shifted to make the model ...