Labeling task distribution method and device, medium and computer device

Abstract

The invention provides a labeling task distribution method and device, a computer storage medium and a computer device. The method comprises the steps of obtaining to-be-labeled task data associated with a labeling task distribution instruction and a labeling personnel list in response to the labeling task distribution instruction; determining task attribute information of the to-be-labeled task data; obtaining annotation capability attribute information corresponding to each annotation person in the annotation person list; and allocating a labeling task to each labeling person according to the labeling capability attribute information corresponding to each labeling person and the task attribute information. According to the technical scheme, the marking capacity of the marking personnel is considered when the marking tasks are distributed, the marking tasks matched with the marking capacity of the marking personnel are distributed to the marking personnel, and the marking accuracy ofthe marking personnel can be remarkably improved.

Description

technical field [0001] The present invention relates to the field of data labeling, in particular, the present invention relates to a labeling task allocation method, device, medium and computer equipment. Background technique [0002] Data labeling is to label the data. The labeled data can be used as a pilot experience for machine learning. In the field of artificial intelligence, data labeling is a basic but very important work. Now the work of data labeling is usually outsourced to data crowdsourcing companies or data labeling platforms, and data crowdsourcing companies or data labeling platforms arrange labelers to label the received data to be labeled. Among them, the accuracy of labeling by the labeler for the data to be labeled has a profound impact on the final recognition accuracy of the machine, so it is necessary to strictly control the labeling accuracy of the labeler. [0003] At present, the control of the labeling accuracy of the labelers is usually to judge...

AI Technical Summary

Problems solved by technology

[0003] At present, the control of the labeling accuracy of the labelers is usually to judge whether the labeled data is accurate or not after the labelers complete the labeling tasks, but when assigning labeling tasks to the labelers, the data to be labeled is usually averaged. Assigned to the labeling personnel, and did not take into account the objective factors that affect the accuracy of labeling in the labeling personnel

Images