Image labeling method and device

An image annotation and image technology, applied in the field of image processing, can solve the problems of low image annotation quality, not supporting multi-person collaboration, low data security, etc. safe effect

Active Publication Date: 2021-07-09
CHINA CONSTRUCTION BANK
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The image data annotation method based on the crowdsourcing model has the problem of low image annotation quality; the online data system has the problems of high system usage cost and low data security; applying the existing open source artificial intelligence image annotation tools on the Internet, Its installation files are generally client applications, which do not support multi-person collaboration and have low efficiency

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
  • Image labeling method and device
  • Image labeling method and device
  • Image labeling method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to better understand the technical solution in the present specification, the drawings in the present invention will be described in conjunction with the drawings in the present application embodiment, which will be described in contemplated, integrated, apparent. The embodiment is merely the embodiment of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0038] First, the related background art according to the present application is introduced.

[0039] Machine study: Specializing on how to simulate or achieve human learning behavior, to obtain new knowledge or skills, reorganizing existing knowledge structure constantly improving its performance, is the core of artificial intelligence.

[0040]Deep learning: Deep learning is the inherent law of learning sam...

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 application provides an image tagging method and device, wherein the method includes: receiving an image display instruction and acquiring an image to be tagged according to the image display instruction; displaying the image to be tagged in a canvas in a target browser; Real-time monitoring of the mouse click event in the canvas canvas, if the real-time monitoring mouse click event is detected, the position to be marked in the image to be marked is obtained according to the real-time monitoring mouse click event, and a preset mark element is applied The position to be marked is marked to obtain a marked image. The present application can improve the quality and efficiency of image labeling, and further can improve the accuracy and efficiency of transaction voucher image classification or intelligent driving image detection realized by applying image labeling results.

Description

Technical field [0001] The present application relates to the field of image processing, and more particularly to an image labeling method and apparatus. Background technique [0002] With the development of technology, the Internet has fully entered the artificial intelligence era, and the current high-speed development of artificial intelligence relies on the technical model of big data and machine learning. On the basis of big data, the machine is enhanced by the machine. Complex mode pre-probability. For example, an unmanned car must obtain the ability to identify pedestrians, vehicles, and obstacles, which requires depth learning for tens of millions of training data sets. Deep learning is a large number of label data to be supported, so it is possible to provide massive training data sets through data acquisition and labeling. Most of the data labels are actually image data labels, such as image identification, face recognition, user behavior analysis, and intelligent drivi...

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): G06F3/0481
CPCG06F3/0481G06F2203/04806
Inventor 李林芸郑邦东熊博颖胡雅伦
Owner CHINA CONSTRUCTION BANK
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