What does keras image data generator do?

What does keras image data generator do?

Keras ImageDataGenerator is a gem! It lets you augment your images in real-time while your model is still training! You can apply any random transformations on each training image as it is passed to the model. This will not only make your model robust but will also save up on the overhead memory!

How can I save augmented images in keras?

Heres a very simple version of saving augmented images of one image wherever you want:

1. Initialize image data generator.
2. Step 2: Here we pick the original image to perform the augmentation on.
3. step 3: pick where you want to save the augmented images.
4. we fit the original image.

What is augmented image?

Image data augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset. Image data augmentation is used to expand the training dataset in order to improve the performance and ability of the model to generalize.

When do you use data augmentation in keras?

Let’s examine the most trivial case where you only have one image and you want to apply data augmentation to create an entire dataset of images, all based on that one image. To accomplish this task, you would: Load the original input image from disk. Randomly transform the original image via a series of random translations, rotations, etc.

What does 0.2 mean in keras imagedatagenerator?

For instance, 0.2 means shift horizontally by 20% of the image width. If it is integer >=1, then this shifts the image horizontally by pixels in the range [-num, num]. For instance, 3 means shift horizontally by the pixels selected from the range [-2,-1,0,1,2]. So, the image may be shifted by 2 or 1 or 0 pixels. Similarly for a 1D array.

How is an image flip augmented in keras?

An image flip means reversing the rows or columns of pixels in the case of a vertical or horizontal flip respectively. The flip augmentation is specified by a boolean horizontal_flip or vertical_flip argument to the ImageDataGenerator class constructor.

How to change batch of images in keras?

Accepting a batch of images used for training. Taking this batch and applying a series of random transformations to each image in the batch (including random rotation, resizing, shearing, etc.). Replacing the original batch with the new, randomly transformed batch.