Draft:Data Annotation

Data annotation is the process of associating meaningful tags with data used in machine learning algorithms. Data annotation is important for training computers to understand and associate different sources of information, such as text or images in large datasets. A common example of data annotation is ReCaptcha, in which every-day internet users help identify objects in blurry images.