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What is Image Annotation? Image annotation  is the process of labeling images from a dataset to train a machine learning model. Therefore, image annotation is used to mark the features that you need the system to recognize. Training ML models with labeled data is called supervised learning. Labeling tasks often involve manual work, sometimes with computer assistance. Machine learning engineers predetermine labels, called "classes," and provide image-specific information to computer vision models. After the model is trained and deployed, it will predict and recognize those predetermined features in new images that have not yet been labeled.   The role of image annotation Labeling images is necessary for feature datasets because it lets the trained model know what the important parts of the image are (categories), so that these annotations can later be used to identify those categories in new, never-before-seen images.   The role of image annotation for c...