In previous articles, we have described what data annotation is about and explored a few types of data annotation methods. In this article, we will explore the automated data annotation method in detail and discuss its benefits and difficulties.
WHAT IS IT?
Automated data annotation uses an existing model to generate the annotations you need for your data. Such a model may be trained on generic data such as everyday objects or domain-specific data such as medical data. To get good quality annotations, it is important to select an appropriate model trained on datasets similar to your data.
Automated annotation systems were created to overcome limitations of manual annotation, most notably in annotation workforce management and annotation speed. Therefore, most of its benefits come from ease of use and the opportunity to