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Image recognition method and device, computer equipment and storage medium

An image recognition and image technology, applied in the field of computer vision, can solve the problems of the difficulty of image subdivision classification, the accuracy of image subdivision classification and recognition needs to be improved, and achieve the effect of reducing classification errors and improving accuracy.

Pending Publication Date: 2022-05-27
SF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the feature differences between subcategories under different categories may be relatively subtle, which makes image subdivision classification more difficult. The accuracy of traditional technology for image subdivision classification needs to be improved.

Method used

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  • Image recognition method and device, computer equipment and storage medium
  • Image recognition method and device, computer equipment and storage medium
  • Image recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0033] In one embodiment, as figure 1 As shown, an image recognition method is provided. In this embodiment, the method is applied to a terminal as an example. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server. Interaction between terminal and server. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server can be implemented by an independent server or a server cluster...

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Abstract

The invention relates to an image recognition method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a to-be-recognized image; performing feature extraction on the to-be-recognized image to obtain a first-level feature and a second-level feature of the to-be-recognized image; based on the first-level features and the second-level features, first-level category recognition results and second-level category recognition results of the to-be-recognized image are obtained, the first-level category recognition results comprise recognized first-level categories, the second-level category recognition results comprise recognized second-level categories, and the second-level categories are sub-categories of the first-level categories; and determining the category of the to-be-recognized image according to the first-level category recognition result and the second-level category recognition result. By adopting the method, the accuracy of fine classification and recognition of the image can be improved.

Description

technical field [0001] The present application relates to the field of computer vision technology, and in particular, to an image recognition method, apparatus, computer equipment and storage medium. Background technique [0002] With the development of deep learning technology, image recognition technology has emerged, which can be used to solve image classification problems. For example, when image recognition technology is applied to commodity recognition, it can identify the category to which the commodity belongs. Commodity categories are usually divided into large categories and small categories according to the granularity. The traditional technology learns the category features of an image at a certain granularity through a network model to identify the category of the image at this granularity. [0003] However, the feature differences between sub-categories under different categories may be subtle, making it difficult to classify images, and the accuracy of tradit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/44G06V10/772G06V10/80G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2415G06F18/253G06F18/214
Inventor 相鹏
Owner SF TECH
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