Resize

This tool further creates diversity in the training data by rotating some of your training images. The fraction of the images rotated depends on the probability of the rotation.

Parameters

Probability

This gives the probability of rotating an image. A higher probability will rotate more of the images. Hence it determines the fraction of the training data that would be rotated.

Range

All images aren't rotated to the same angle. For each image that is to be rotated, the angle is picked at random from a certain range specified by the user. The unit for the angle is in degrees.

Code Implementation

import albumentations as albu
from PIL import Image

transform =albu.RandomRotation(degrees=(-90,90))
augmented_image = transform(image=figure)['image']

# we have our required rotated image in augmented_image.

Further Resources

• Vertical Flip
• Resize
• Random Crop
• Random Sized Crop
• Horizontal Flip
• Blur
• Gaussian Noise