Method and device for image annotation and storage medium

An image tagging and image technology, applied in the field of image processing, can solve the problems of low efficiency of image tagging, and achieve the effects of saving time and labor costs, shortening the cycle, and improving efficiency

Pending Publication Date: 2021-12-24
中科云谷科技有限公司 +1
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method, device and storage medium for image labeling to solve the problem of low efficiency of image labeling in the prior art

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
  • Method and device for image annotation and storage medium
  • Method and device for image annotation and storage medium
  • Method and device for image annotation and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0046] It should be noted that if there is a directional indication (such as up, down, left, right, front, back...) in the embodiment of the present invention, the directional indication is only used to explain the position in a certain posture (as shown in the accompanying drawing). If the specific posture changes, the directional indication will also change accordingly.

[0047] In addition, if there are descriptions involving "first", "second" and so on in the embodiments of the present invention, the descriptions of "first", "second" and so on are only for descriptive purposes, and should not be interpreted as indicating or implying Its relative importance ...

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 discloses a method and device for image annotation and a storage medium. The method comprises the following steps: acquiring a to-be-labeled image; performing super-pixel segmentation on the image to generate a plurality of super-pixel blocks; respectively extracting features of the plurality of superpixel blocks; inputting the features of the plurality of superpixel blocks into an affinity propagation clustering algorithm to obtain a pixel block region; and acquiring annotation information of the pixel block region. According to the method, the pixel block area is determined based on the super-pixel segmentation technology and the affinity propagation clustering algorithm, the number of categories does not need to be specified in advance, and the clustering performance and efficiency are high, so that the period of image labeling is shortened, the time and labor cost is saved, and the efficiency of image labeling is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device and storage medium for image labeling. Background technique [0002] In deep learning semantic segmentation tasks, data processing is very important. In data processing, the annotation of semantic segmentation data is very complex and time-consuming. Annotators need to annotate the category described by each pixel, which belongs to pixel-level annotation. Existing image labeling is assisted by labeling software. The steps include: selecting the picture to be labeled, loading the picture to the labeling software, manually labeling, and adding the data set after the labeling is completed for subsequent model training. The existing technology only relies on manual labeling, which is time-consuming and laborious, and the input-output ratio is not high, resulting in low efficiency of image labeling. Contents of the invention [0003] The object of...

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): G06T7/11G06T7/187G06K9/62
CPCG06T7/11G06T7/187G06T2207/10024G06F18/22G06F18/23213
Inventor 黄跃峰杨军虢彦
Owner 中科云谷科技有限公司
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