GB/T 42755-2023Artificial intelligence—Code of practice for data labeling of machine learning (English PDF)

3.1 Data annotation

datalabeling The process of specifying target variables and assigning values to data samples.

3.2 Labeling task

The activity of labeling data according to the data labeling instructions.

3.3 Data annotation party

datalabeler The person or institution undertaking the task of data labeling.

3.4 Data demand side

datauser The person or organization that proposed the data labeling requirement.

3.5 Labeling manager

The person or organization that manages the evaluation, distribution, delivery, acceptance, and quality control of data labeling tasks.

3.6 Labeling tool

The tools used by the data labeling party to perform data labeling, the tools used by the labeling manager to manage data labeling, and the data demander's acceptance All process-related tools such as the tools used for data labeling.

3.7 Labeling task description

The written expression used by the data demander to clarify the labeling task to the labeling manager and the data labeling party.

Note: The labeling task description usually includes a description of the labeling task to be performed, labeling methods, positive and negative examples, acceptance methods, and acceptance indicators.