Image annotation method and terminal device

An image labeling and image technology, applied in the field of image processing, can solve the problems of poor labeling accuracy and low image labeling efficiency, and achieve the effect of improving efficiency and ensuring accuracy

Inactive Publication Date: 2018-09-25
RISEYE INTELLIGENT TECH SHENZHEN CO LTD
View PDF4 Cites 42 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides an image tagging method and a terminal device to solve the current problems of low image tagging efficiency and poor tagging 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
  • Image annotation method and terminal device
  • Image annotation method and terminal device
  • Image annotation method and terminal device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are proposed for a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from obstructing the description of the present invention.

[0025] In order to illustrate the technical solution of the present invention, specific embodiments are used for description below.

[0026] figure 1 This is a flow chart of the implementation of the image labeling method provided by the embodiment of the present invention, which is detailed as follows:

[0027] In S101, an image to be annotated is acquired, and the image to be annotated is i...

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 image processing technology field and provides an image annotation method and a terminal device. The method comprises the following steps of acquiring an image to be annotated, and inputting the image to be annotated into a target detection model so as to obtain the first annotation set of the image to be annotated; displaying the image to be annotated containing the first annotation set; acquiring adjusting information input by a user, and according to the adjusting information, adjusting the first annotation set; and according to the adjusted first annotation set, determining the final annotation set of the image to be annotated. In the invention, the automatic annotation and the manual annotation of the image can be combined, image annotation efficiency is greatly increased, and annotation accuracy can be ensured.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to an image labeling method and terminal equipment. Background technique [0002] Image annotation refers to marking the location of the target area with graphics, text, etc. in an image. It is mainly used in the recognition and detection of computer vision and other technical fields, such as object detection (Object Detection) technology, which requires input of a large amount of labeled image data As a training set, better detection results can be obtained. [0003] The existing image annotation technology is mainly through manual annotation or automatic annotation through traditional computer vision algorithms, such as image feature extraction algorithm, which locates key positions in the image for annotation by extracting image features. However, the manual annotation method requires too much work and low efficiency, and traditional computer vision algorithms cannot guarantee...

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): G06K9/62
CPCG06F18/211G06F18/214G06F18/241
Inventor 孔庆杰
Owner RISEYE INTELLIGENT 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap