Popular understanding is editing on the internet. He is mainly responsible for some data labeling tools, which classify, sort, correct and label a large number of text information, picture information, voice information and video information.
The job responsibility of the data annotator is to annotate and summarize the related contents of data annotation in the R&D team, distribute and review a large number of data outsourcing annotation work, fully understand the background and standards of data annotation required by the R&D team, and provide basis for formulating relevant strategies.
Data annotator's job is an ordinary office job, but it is currently associated with artificial intelligence, so it has been labeled a lot. Common data annotation types include classification annotation, frame annotation, area annotation, tracking annotation and other annotations.
Common data annotation types:
There are many types of data annotation, such as classification annotation, frame annotation, tracking point annotation, region annotation and so on. According to the difficulty of labeling, it can be divided into common sense labeling and professional labeling.
Common sense labeling: for example, labeling road markings, road signs, maps and other data, voice recognition labeling and other data are common sense labeling. This kind of labeling needs a large number of labeling training samples because of its many and complex application scenarios. As long as the annotator is serious and responsible, the project completion efficiency is high and the quality is good, he is a good annotator.
Professional labeling: such as labeling in medical diagnosis, aerospace, power system and other professional fields. This kind of labeling work requires labeling personnel with professional knowledge in this field, or is called labeling experts, and labeling work is also difficult.