Training method of image classification model and image classification method and device

A classification model and training method technology, applied in the field of image processing technology and financial fields, can solve the problems of low image recognition accuracy, context information loss, information redundancy, etc., to enhance discrimination, improve accuracy, improve efficiency and accuracy Effect

Pending Publication Date: 2022-07-29
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following problems in related technologies: existing hyperspectral image classification algorithms have information redundancy and context information loss, resulting in low image recognition 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
  • Training method of image classification model and image classification method and device
  • Training method of image classification model and image classification method and device
  • Training method of image classification model and image classification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for convenience of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It will be apparent, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.

[0064] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the present disclosure. The terms "comprising", "comprising" and the like used herein indicate the presence of s...

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 provides an image classification model training method, an image classification method, electronic equipment and a computer readable storage medium, which can be applied to the technical field of image processing and the field of finance. The image classification model training method comprises the steps that a plurality of target sample images are acquired, and each target sample image in the plurality of target sample images comprises at least one sample object and category information of the at least one sample object; the at least one sample object corresponding to the multiple target sample images is processed, a training sample data set is obtained, and training sample data in the training sample data set comprises spatial dimension information and spectral dimension information of the at least one sample object corresponding to the multiple target sample images; and training an image classification model by using the training sample data set to obtain a trained image classification model.

Description

technical field [0001] The present disclosure relates to the technical field of image processing and the financial field, and more particularly, to an image classification model training method, an image classification method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product. Background technique [0002] Hyperspectral images have a wide range, large amount of data, high resolution, and rich spectral information, and have been widely used in urban planning, map acquisition and other fields. [0003] In the process of realizing the concept of the present disclosure, the inventors found at least the following problems in the related art: the existing hyperspectral image classification algorithms have information redundancy and context information loss, resulting in low image recognition accuracy. SUMMARY OF THE INVENTION [0004] In view of this, the present disclosure provides an image classification model training metho...

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): G06V10/764G06V10/774G06V10/82G06N3/04
CPCG06V10/764G06V10/774G06V10/82G06N3/045
Inventor 吴琳琳陈永录王静赵燕子
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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