Performing transformations on images – image augmentation
In the realm of image processing and deep learning, the ability to effectively work with image data is paramount. However, acquiring a diverse and extensive dataset can be a challenge. This is where the concept of image augmentation comes into play. Image augmentation is a transformative technique that holds the power to enhance the richness of a dataset without the need to amass additional images manually. This section delves into the intricacies of image augmentation – an indispensable tool for improving model performance, enhancing generalization capabilities, and mitigating overfitting concerns.
Image augmentation is a technique for artificially increasing the size of a dataset by generating new training examples from existing ones. It is commonly used in deep learning applications to prevent overfitting and improve generalization performance.
The idea behind image augmentation is to apply a variety of...
