What is Image Annotation?
Image annotation is the technique of adding additional information to an image so that computer vision models could use it to identify, tag, and categorize the image. It is the process of building datasets in order to train machine learning programs that can automatically assign captions or keywords to particular images. This helps the machine learning program (AI) learn how to identify elements within an image, much like how human brain capacity allows us to automatically identify an image’s subject (a person in a photo), as opposed to other objects, for example. Annotated images are frequently used to train image classification and object detection models, as well as for visualizing the output of such models.
Image annotation is an important building block for developing computer vision systems that can be used for applications such as image classification, image clustering, and augmented reality.