Image labeling is the process of identifying and tagging objects, people, or features within an image. This technique is commonly used in machine learning and computer vision to help algorithms understand and interpret visual data. By providing labeled images, developers can train models to recognize patterns and make predictions based on new, unlabeled images. The labeled data serves as a foundation for various applications, such as self-driving cars, facial recognition, and medical imaging. Accurate image labeling is crucial for improving the performance of these systems, as it enables them to learn from examples and enhance their ability to analyze and respond to visual information.