Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method, system, server and storage medium for crowdsourcing data annotation

A crowdsourcing and data technology, applied in the field of systems, servers and storage media, and crowdsourcing data labeling methods, can solve problems such as uneven understanding and cognition of labeling specifications, time-consuming big data labeling, and deviation of labeling data results. , to achieve the effect of improving user experience, improving the degree, and improving learning efficiency

Active Publication Date: 2022-07-01
WUHAN ZHONGHAITING DATA TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a crowdsourcing data labeling method, system, server, and storage medium to solve the problem in the prior art that each labeler has different professional knowledge backgrounds and fields of interest, and the understanding and cognition of labeling specifications is also difficult. There will be unevenness, resulting in large deviations in the results of some labeled data and technical problems that take a long time to label some data

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
  • A method, system, server and storage medium for crowdsourcing data annotation
  • A method, system, server and storage medium for crowdsourcing data annotation
  • A method, system, server and storage medium for crowdsourcing data annotation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The principles and features of the present invention will be described below in conjunction with specific embodiments, and the examples are only used to explain the present invention, but not to limit the scope of the present invention.

[0042] refer to figure 1 , figure 1 It is a schematic diagram of the server structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0043] like figure 1 As shown, the server may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired int...

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 present invention relates to a crowdsourced data labeling method, system, server and readable storage medium. The present invention identifies the target image on the to-be-processed image, extracts the image features, and then uses the recorded processing features of the labeler to label it. Matching with image features, selecting annotators who are good at processing the image features to label the image to be processed, solves the problem in the prior art because the background technology, professional knowledge and hobbies of the annotators are different. The selection method does not take into account the differences between annotators, resulting in a technical problem of low annotation efficiency.

Description

technical field [0001] The invention relates to the field of Internet technologies, and in particular, to a method, system, server and storage medium for crowdsourcing data labeling. Background technique [0002] Data annotation is a behavior of processing artificial intelligence learning data by data processing personnel with the help of annotation tools. Usually, the types of data annotation include: image annotation, voice annotation, text annotation, video annotation and other types. The basic forms of markup include annotation frame, 3D frame, text transcription, image dotting, target object outline, etc. [0003] Image annotation and video annotation can actually be collectively called image annotation if they are classified according to the work content of data annotation, because video is also composed of continuous playback of images. In real application scenarios, it is often applied to face recognition of image data annotation and automatic driving vehicle recogn...

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 Patents(China)
IPC IPC(8): G06V10/82G06V10/40G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/462G06N3/045G06F18/22
Inventor 何云熊迹何豪杰罗跃军
Owner WUHAN ZHONGHAITING DATA TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com