Enhancing Image Classification with Data Image Augmentation in Python

Data image augmentation is a technique used in computer vision and deep learning to increase the amount and diversity of data available for training a model. This paper presents an overview of data image augmentation and provides a tutorial on how to perform data image augmentation in Python using the Keras.preprocessing.image The paper also includes a discussion on the benefits and limitations of data image augmentation and provides tips on how to use it effectively. In recent years, computer vision and deep learning have made significant strides in accurately classifying and detecting objects in images. One of the key factors that contribute to the success of these techniques is the availability of large and diverse datasets for training models.