Picture labeling method and device, computer equipment and storage medium

A picture and sum technology, applied in the field of machine learning, can solve the problem of high labor cost, and achieve the effect of reducing high cost, saving calculation amount, and improving accuracy

Pending Publication Date: 2019-11-05
GUANGDONG XIAOTIANCAI TECH CO LTD
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a picture labeling method, device, computer equipment and storage medium to solve the problems caused by manual labeling caused by the labeling 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
  • Picture labeling method and device, computer equipment and storage medium
  • Picture labeling method and device, computer equipment and storage medium
  • Picture labeling method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0032] In order to make the purpose, technical solution and advantages of the present application clearer, specific embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts relevant to the present application are shown in the drawings but not all content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe various operations (or steps) as sequential processing, many of the operations may be performed in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The proc...

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 embodiment of the invention discloses a picture labeling method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a training sample picture, and adjusting the size of the training sample picture to a preset size threshold value; for every two training sample pictures, applying a preset feature point extraction algorithm to extract feature pointsof the training sample pictures and carrying out feature point pairing to determine feature point pairs; filtering the feature point pair by applying a preset noise filtering algorithm to obtain a first target feature point pair; if the number of the first target feature point pairs is greater than a preset feature point pair number threshold, selecting feature point pairs with the preset featurepoint pair number threshold as second target feature point pairs; calculating the distance between each feature point pair in the second target feature point pair and the sum of the distances; and ifthe sum of the distances is smaller than a preset distance threshold, marking the two training sample pictures to be similar. Labor cost of marking the training sample pictures in the picture recognition model training process based on artificial intelligence is reduced.

Description

technical field [0001] The embodiment of the present application relates to machine learning technology, and in particular to a picture labeling method, device, computer equipment and storage medium. Background technique [0002] With the continuous development of artificial intelligence technology, the application of deep learning is becoming more and more extensive. In the field of machine vision, especially in the application scenario of image search, a large amount of labeled data is required in the training process of the artificial intelligence-based image recognition algorithm model, for example, a large amount of labeled data of similar images with millions of levels or more is required , and labeling data of more than one million levels requires a lot of labor costs. The more similar pictures, the more labeled data, the more accurate the trained picture recognition algorithm model will be, and the accuracy of image search will be higher and higher. [0003] Howeve...

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
IPC IPC(8): G06K9/62G06K9/40
CPCG06V10/30G06F18/22G06F18/214
Inventor 张振华
Owner GUANGDONG XIAOTIANCAI TECH 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