Perform Image Data Augmentation using Keras | Keras ImageDataGenerator | Python Tutorial In Hindi

Image Data Augmentation using Keras.

In this project, you will learn how to apply image data augmentation in Keras. We are going to focus on using the ImageDataGenerator class from Keras’ image preprocessing package, and will take a look at a variety of options available in this class for data augmentation and data normalization.

Data augmentation is a technique used to create more examples, artificially, from an existing dataset. This is useful if your dataset is small and you want to increase the number of examples. Data augmentation can often solve over-fitting so that your model generalizes well after training. For images, a variety of augmentation can be applied to increase the number of examples.

Learn step-by-step:

1) Introduction and Importing Libraries
2) Rotation
3) Width and Height Shifts
4) Brightness
5) Shear Transformation
6) Zoom
7) Channel Shift
8) Horizontal and Vertical Flips

Hope you all try it and understood it.

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