Image recognition model training method, image recognition method and device
An image recognition and training method technology, applied in the field of image processing, can solve the problems of poor image recognition model training effect, limited number of sample images, limited recognition accuracy of sample images, etc.
Pending Publication Date: 2021-02-05
FOURTH MILITARY MEDICAL UNIVERSITY
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[0003] The recognition accuracy of the image recognition model in the related art is limited by the number of sample images, and the number of sample images is often limited, resulting in poor training effect of the image recognition model
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[0074] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.
[0075] In this application, the terms "first" and "second" are used to distinguish the same or similar items with basically the same function and function. It should be understood that "first", "second" and "nth" There are no logical or timing dependencies, nor are there restrictions on quantity or order of execution.
[0076] In this application, the term "at least one" refers to one or more, and the meaning of "multiple" refers to two or more. For example, multiple reference face images refer to two or more reference faces. image.
[0077] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand hum...
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The invention discloses an image recognition model training method and device, an image recognition method and device, equipment and a storage medium, and belongs to the field of image processing. Inthe embodiment of the invention, the server can employ three images to train an image recognition model, a reference sample image, a positive sample image and a negative sample image, the three imagesall comprise sample objects, and the reference sample image and the positive sample image correspond to the same sample object. The reference sample image and the negative sample image correspond todifferent sample objects. In the training process, the server aims to identify that the similarity between the reference sample image and the positive sample image is as high as possible and identifythat the similarity between the reference sample image and the negative sample image is as low as possible through the model, so in the follow-up use process, whether the shot image and the stored image contain the same face or not can be accurately determined.
Description
technical field [0001] The present application relates to the field of image processing, in particular to an image recognition model training method, image recognition method, device, server and storage medium. Background technique [0002] With the development of computer technology, artificial intelligence technology is booming. As a branch of artificial intelligence technology, image recognition technology has a wider range of applications. For example, image recognition technology can be applied to face recognition scenarios. The image of the face is recognized, and the identity information corresponding to the face can be obtained. [0003] The recognition accuracy of the image recognition model in the related art is limited by the number of sample images, and the number of sample images is often limited, resulting in poor training effect of the image recognition model. Contents of the invention [0004] Embodiments of the present application provide a training metho...
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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/214
Inventor 吴元明袁利娟孙茂李冰万军刘梓谕
Owner FOURTH MILITARY MEDICAL UNIVERSITY