What does artificial intelligence data labeling mean, and which data should be labeled
In recent years, artificial intelligenc data has developed rapidly, and the application of AI in various industries has become more and more extensive. However, data labeling is a job with a very high technical threshold. Many novices do not understand the AI industry, and often cause mistakes due to labeling mistakes . So today I will take you to learn about artificial intelligence data annotation.
What does artificial intelligence data labeling mean?
Data annotation generally refers to the process and work of manually collecting, sorting, categorizing and analyzing the data or content required by artificial intelligence, and giving relevant suggestions, explanations or evaluations on this basis. There are two basic types of data annotation : one is non-automated, which refers to the annotation formed without any human factors involved. The other is automatic annotation, which is formed based on methods such as machine learning and deep learning, and forms an answer to ...