dataannotaatiossa
Data annotation is the process of labeling data to make it more useful for machine learning and artificial intelligence applications. This involves adding metadata to raw data to provide context and meaning. The primary goal of data annotation is to improve the accuracy and efficiency of machine learning models by providing them with well-structured and meaningful data.
There are various types of data annotation, including text annotation, image annotation, audio annotation, and video
Data annotation can be performed manually by human annotators or automatically using algorithms. Manual annotation is
Data annotation is crucial for training machine learning models, as it provides the necessary data for supervised
In recent years, there has been a growing demand for data annotation services due to the increasing