At its core, image annotation is the process of labeling or tagging images with metadata to make them understandable to machines. This annotated data is then used to train machine learning models, particularly in computer vision. From recognizing objects in images to predicting movements in videos, the quality of annotation directly impacts the accuracy of AI systems.