Article category recognition method and device, computer equipment and storage medium

An identification method and item technology, applied in the field of artificial intelligence, can solve the problems of low item identification accuracy, achieve accurate acquisition, improve control requirements, and reduce interference

Inactive Publication Date: 2018-10-12
广州绿怡信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to address the technical problem of low accuracy of item identification and provide an item category identification method, device, computer equipment and storage medium that can improve item identification accuracy

Method used

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  • Article category recognition method and device, computer equipment and storage medium
  • Article category recognition method and device, computer equipment and storage medium
  • Article category recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0065] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0066] Such as figure 1 As shown, a method for item category identification includes:

[0067] Step S200, acquiring an image of the item to be identified, and extracting edge mask information of the image of the item to be identified.

[0068] The item to be identified refers to an item that is identified and distinguished according to the preset item category. For example, the item category can include mobile phone and non-mobile phone, and it can be identified from the item to be identified whether it belongs to the mobile phone category or the non-mobile phone category...

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Abstract

The invention relates to an article category recognition method and device, computer equipment and a storage medium. The method comprises the steps that a to-be-recognized article image is acquired, and edge mask information of the to-be-recognized article image is extracted; according to the edge mask information, clipping processing is performed on the to-be-recognized article image; and according to the to-be-recognized article image obtained after clipping processing and a preset article category recognition model, the category of the to-be-recognized article image is recognized, and a recognition result is output, wherein the preset article category recognition model is a model obtained by performing training and migration learning on training sample images. Through the article category recognition model obtained through pre-training and migration learning, the control requirement on article accuracy is improved; and by use of the article category recognition model to recognize the to-be-recognized article image, the article recognition result can be accurately acquired.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an item category identification method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of science and technology, the replacement speed of mobile phones is getting faster and faster. Various types of mobile phones are circulating in the market, but there are also many models of mobile phones due to long-term use, low configuration or Due to damage and other reasons, it is no longer used by users. Faced with mobile phones of various shapes, and many objects with similar shapes to mobile phones, it may not be difficult to select mobile phones from among them, but the workload is indeed very heavy for manual operation. . [0003] With the development of artificial intelligence technology, machine-assisted manual operation is gradually realized, and machine-assisted identification of mobile phones an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V20/10G06N3/045
Inventor 廖伟权余卫宇尚伟艺田寨兴
Owner 广州绿怡信息科技有限公司
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