Artificial Intelligence By Example

Data augmentation

Data augmentation increases the size of the dataset by generating distorted versions of the images provided.

The ImageDataGenerator function generates batches of all images found in tensor formats. It will perform data augmentation by distorting the images (shear range, for example). Data augmentation is a fast way to use the images you have and create more virtual images through distortions:

train_datagen = ImageDataGenerator(rescale = 1./255,shear_range = 0.2,zoom_range = 0.2,horizontal_flip = True)

The code description is as follows:

• scale will rescale the input image if not 0 (or none). In this case, the data is multiplied by 1/255 before applying any other operation.
• shear_range will displace each value in the same ...