A Guide to Image Dataset Preprocessing and Augmentation

In the rapidly advancing domain of artificial intelligence and computer vision, the quality of data plays a pivotal role in the development of precise models. The processes of Image Data Set preprocessing and augmentation are vital for effectively preparing data for deep learning applications. These methodologies contribute to enhancing model generalization, mitigating overfitting, and improving the efficiency of AI training. This guide will delve into the fundamental preprocessing and augmentation techniques applicable to image datasets.

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