Annotation task execution method and device based on big data, electronic device and medium

A task execution and big data technology, applied in the field of artificial intelligence, can solve problems such as low labeling quality and accuracy, labeling errors, and difficulty in labeling problems, so as to improve labeling accuracy and efficiency, improve accuracy, and make comparison results reasonable. precise effect

Inactive Publication Date: 2021-09-24
PING AN TECH (SHENZHEN) CO LTD
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, due to differences in the professional level, psychological state, and understanding of the problem of the annotators, or the problem itself is difficult to annotate, it is easy to cause wrong labels to be annotated, resulting in low annotation quality and accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Annotation task execution method and device based on big data, electronic device and medium
  • Annotation task execution method and device based on big data, electronic device and medium
  • Annotation task execution method and device based on big data, electronic device and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] figure 1 It is a flow chart of the method for executing a labeling task based on big data provided in Embodiment 1 of the present application.

[0060] In this embodiment, the big data-based labeling task execution method can be applied to electronic devices, and for electronic devices that need to perform big data-based labeling task execution, the method provided by the application can be directly integrated on the electronic device The function performed by the labeling task based on big data, or run in the electronic device in the form of a software development kit (Software Development Kit, SDK).

[0061] The embodiments of the present application may acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environ...

Embodiment 2

[0133] figure 2 It is a structural diagram of the big data-based labeling task execution device provided in Embodiment 2 of the present application.

[0134] In some embodiments, the big data-based labeling task execution device 20 may include a plurality of functional modules composed of program code segments. The program codes of the various program segments in the big data-based labeling task execution device 20 may be stored in the memory of the electronic device, and executed by the at least one processor for execution (see figure 1 Description) The function performed by the labeling task based on big data.

[0135]In this embodiment, the big data-based labeling task execution device 20 can be divided into multiple functional modules according to the functions it performs. The functional modules may include: an acquisition module 201 , an identification module 202 , a generation module 203 , a judgment module 204 , a detection module 205 , an evaluation module 206 and ...

Embodiment 3

[0203] refer to image 3 As shown in , it is a schematic structural diagram of the electronic device provided in Embodiment 3 of the present application. In a preferred embodiment of the present application, the electronic device 3 includes a memory 31 , at least one processor 32 , at least one communication bus 33 and a transceiver 34 .

[0204] Those skilled in the art should understand that, image 3 The structure of the electronic device shown does not constitute a limitation of the embodiment of the present application, it can be a bus structure or a star structure, and the electronic device 3 can also include more or less other hardware than shown in the figure Or software, or a different arrangement of components.

[0205] In some embodiments, the electronic device 3 is an electronic device that can automatically perform numerical calculation and / or information processing according to preset or stored instructions, and its hardware includes but not limited to micropro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of artificial intelligence, and provides an annotation task execution method and device based on big data, an electronic device and a medium, and the method comprises the steps of obtaining a target annotator according to a target field and a target annotation rating, and generating a first test question set according to the annotation rating of the target annotator; performing professional ability evaluation on the target annotator based on the first test question set; when the target annotator has the ability to execute the to-be-annotated task and meets a preset triggering event requirement, performing psychological ability assessment on the target annotator; and executing the to-be-annotated task after the psychological test passes, and evaluating the annotation ability of the target annotator according to an annotation result. According to the present invention, the ability of the target annotator is evaluated from the three dimensions of professional ability, psychological ability and annotation result accuracy, so that the accuracy of the obtained target annotator is ensured, and the annotation efficiency and accuracy are improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method, device, electronic device and medium for performing a labeling task based on big data. Background technique [0002] High-quality labeled data sets are very important resources in the field of computer research and applications. In the process of data labeling, the existing crowdsourcing technology needs to assign labeling tasks to many labelers for labeling. [0003] However, due to differences in the professional level, psychological state, and understanding of the problem of the annotators, or the problem itself is difficult to annotate, it is easy to cause wrong labels to be annotated, resulting in low annotation quality and accuracy. [0004] Therefore, it is necessary to propose a fast and accurate method for performing labeling tasks. Contents of the invention [0005] In view of the above, it is necessary to propose a labeling ta...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06393G06Q10/06398
Inventor 姜敏华
Owner PING AN TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products