People who are marked as eager to learn are not easy to learn, and it takes a long time to learn. As long as you work hard, you are still eager to learn. Some things seem difficult, but as long as you study hard, they are actually very simple and not as difficult as you think.

Skillful use of labeling tools

If a worker wants to do a good job, he must sharpen his tools first, and the annotation platform is the core of the data annotator's work. As an annotator, it is necessary to master the use of mainstream annotation tools accurately and skillfully, which is the most basic and important skill for annotators.

Have industry knowledge

The data annotation business involves many scenarios, which requires the data annotator to have certain professional knowledge.

Classification and labeling

Classification labeling is our common labeling. Usually, the label corresponding to the data is selected from the established labels, which is a closed set. A picture can have many categories/labels: adult, female, yellow, long hair, etc. For words, subjects, predicates, objects, noun verbs, etc. It can be marked.

Frame mark

Frame labeling in machine vision is easy to understand, that is, to frame the object to be detected, such as face recognition, the position of the face must be determined first.

Regional label

Compared with frame marking, area marking requires more accuracy and flexible edges, such as road identification in autonomous driving.

Dot mark

Some applications that need detailed features often need tracking and labeling, face recognition, bone recognition and so on.