Image base establishment method and system, image base and image classification method

A technology for establishing methods and image libraries, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as uneven labeling quality, and achieve the effect of improving purity and increasing professionalism

Active Publication Date: 2017-11-24
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF5 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for establishing an image library, an image library and an image classification method, which are used to solve the problem of uneven labeling quality in traditional manual labeling methods

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 base establishment method and system, image base and image classification method
  • Image base establishment method and system, image base and image classification method
  • Image base establishment method and system, image base and image classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0062] figure 1 It is the flow chart of embodiment 1 of the establishment method of the image library of the present invention, such as figure 1 As shown, the method for establishing the image library includes:

[0063] Step 101, acquiring an image to be labeled;

[0064] Step 102, determine the initial label of the image according to the image recognition algorithm, specifically including:

[0065] Step A1, extracting feature information of the image;

[0066] Step A2, comparing the feature information with the image reference feature information in the feature library to obtain a comparison result;

[0067] Step A3, determining the initial label of the image according to the comparison result, specifically: assigning the label of the image in the feature library to the image to be labeled when the comparison result satisfies a certain preset condition.

[0068] We choose ImageNet-1K as the training sample. ImageNet-1K is currently a recognized image classification datase...

Embodiment approach

[0078] The specific implementation method is: for each picture to be tagged, first obtain 10 initial tags by using the image recognition algorithm in the background, and then push this picture to multiple users together with the 10 initial tags.

[0079] Users can select several ideal tags from 10 given initial tags and submit them to the background.

[0080] Users can also enter custom text content in the input field and submit it to the background. The backstage is based on a certain word segmentation strategy (such as the longest match of dictionary strings) to segment the user-defined input text content. For example, the user input is "running puppy", and the result of word segmentation is "running", "of", "little dog"; the user input is "naughty teddy dog", and the result of word segmentation is "naughty", "of" ","Teddy dog".

[0081] After collecting word segmentation results (repeatable) to a certain number N (N>=30) in the word segmentation result pool, use word2vec ...

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 an image base establishment method and system, an image base and an image classification method. The image base establishment method comprises the steps of obtaining an image to be labeled; determining an initial label of the image according to an image recognition algorithm; obtaining a user-defined label of the image, wherein the user-defined label is input text of a user; determining a target label of the image according to the initial label and the user-defined label; storing the image and the target label, and forming a training sample. According to the image base establishment method, firstly, the initial label of the image is determined according to the image recognition algorithm; then, the image is labeled according to the initial label and the user-defined label labeled by the user, so that the professionalism of image labeling is improved; meanwhile, and with worker's opinions for reference, the labeling quality and the purity of the training sample are improved.

Description

technical field [0001] The invention relates to the field of image classification, in particular to a method and system for establishing an image library, an image library and an image classification method. Background technique [0002] As an important part of artificial intelligence, machine vision is playing an increasingly important role in today's life. However, during the training process, the machine vision system needs to identify a large number of marked samples to improve the accuracy of the machine vision recognition system to recognize pictures. The traditional image annotation method is to directly annotate the image manually, and then use the label set as the final label of the image as a training sample for machine vision learning. [0003] The traditional manual labeling method is not only inefficient, but also due to different personal professional knowledge, the labeling of pictures will be too divergent, the quality of labeling will be uneven, and the tra...

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): G06F17/30G06K9/62
CPCG06F16/5838G06F16/5866G06F18/24
Inventor 陈杰浩史继筠郑泉斌韩岑黄复贵
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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