In the realm of artificial intelligence (AI) and machine learning (ML), image annotation is essential for training models to identify and interpret visual information. This process is integral to various applications, ranging from autonomous vehicles to healthcare diagnostics, as it provides meticulously labeled datasets that enable machines to learn effectively. This article will delve into the concept of image annotation, its various types, applications, and the best practices for ensuring high-quality annotations.