What does the data annotator do?

The responsibility of the data annotator is to annotate pictures and videos, including faces, goods, objects, scenes and so on, with the annotation tools in the company. Clean, calibrate, compress and format convert the 3D model, and calibrate external parameters as needed. Combined with the labeling requirements, the labeling rules and methods were sorted out and improved, and the labeling task was completed.

Education: Education and major are not limited; Familiar with computer and common office software, simple use of PS is preferred; Have certain sensitivity to images; Introversion; Careful, conscientious and responsible.

Data annotation

Data annotation is the key to the effective operation of most artificial intelligence algorithms. Simply put, data annotation is the process of processing unprocessed voice, pictures, texts, videos and other data, thus transforming them into machine-readable information. The main types of data annotation are image annotation, voice annotation, 3D point cloud annotation and text annotation.

At present, the mainstream machine learning method is based on supervised deep learning, which has a strong dependence on labeled data. The unlabeled raw data are mostly unstructured data, which is difficult to be recognized and learned by machines. The algorithm model can only train and use marked structured data.