Image Annotation is the process of adding metadata, tags, or labels to images to help computers comprehend the contents of the photos. It can be achieved manually, semi-automatically, or automatically and has many different applications, such as object recognition, autonomous driving, medical diagnosis, and computer vision. Artificial intelligence tools can be used to automate this process, or humans can perform the task manually. Using these to train machine learning algorithms can be helpful for image recognition tasks, which is essential in the healthcare industry. That is a critical process for enabling machines to understand and interpret the content of an image. As Machine Learning Algorithms continue to improve, image annotation will become even more critical in allowing engines to understand and interpret the world around us.
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