Data Augmentation Keras length of data

I'm confused when I add data augmentation should I get more data or the same data I tested my x_train length to confirm but I got the same length before augmentation and after augmentation is that correct or should I get the double of my data?

print(len(x_train)) output : 5484

after augmentation :

datagen = ImageDataGenerator(
        featurewise_center=True,  # set input mean to 0 over the dataset
        samplewise_center=True,  # set each sample mean to 0
        featurewise_std_normalization=True,  # divide inputs by std of the dataset
        samplewise_std_normalization=True,  # divide each input by its std
        zca_whitening=False,  # apply ZCA whitening
        rotation_range=45,  # randomly rotate images in the range (degrees, 0 to 180)
        zoom_range = 0.2, # Randomly zoom image 
        width_shift_range=0.2,  # randomly shift images horizontally (fraction of total width)
        height_shift_range=0.2,  # randomly shift images vertically (fraction of total height)
        horizontal_flip=True,  # randomly flip images
        vertical_flip=True,
        validation_split=0.2)  # randomly flip images
datagen.fit(x_train)
print(len(x_train)) output : 5484

is that good or what I should do please?