Data labeling method, device and system and storage medium

Abstract

Embodiments of the invention provide a data labeling method, device and system and a storage medium. The data labeling method comprises the following steps of: selecting a first number of unlabeled data from an unlabeled data set of a data pool; pre-labeling the first number of unlabeled data by utilizing a labeling model so as to obtain pre-labelling information of the first number of unlabeled data, wherein the pre-labelling information comprises a pre-labelling result; outputting a second number of unlabeled data and a pre-labeling result of the second number of unlabeled data to a displaydevice, wherein the second number of unlabeled data is at least a part of the first number of unlabeled data; receiving feedback information aiming at the pre-labeling result of the second number of unlabeled data; and determining a final labeling result of the second number of unlabeled data. According to the method, unlabeled data is submitted to users to be checked after being pre-labelled by the data labeling system, so that the labor cost of data labeling can be greatly decreased.

Description

technical field [0001] The present invention relates to the field of computer technology, and more particularly to a data labeling method, device, system and storage medium. Background technique [0002] With the development of artificial intelligence today, the role of data is becoming more and more prominent. Training a neural network model usually requires millions or even hundreds of millions of data. The labeling cycle and cost of data directly affect the industry competitiveness of an artificial intelligence company. [0003] The current data labeling platform has the following deficiencies: the data labeling mode is to manually label the data one by one; the labeling cost is generally proportional to the size of the data set, and when labeling a very large data set, it usually requires a large amount of human input and a long time labeling cycle. Contents of the invention [0004] The present invention has been made in consideration of the above-mentioned problem...

AI Technical Summary

Problems solved by technology

[0003] The current data labeling platform has the following deficiencies: the data labeling mode is to manually label the data one by one; the labeling cost is generally proportional to the size of the data set, and when labeling a very large data set, it usually requires a large amount of human input and a long time labeling cycle

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