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Image recognition method and device

An image recognition and image technology, applied in the field of image processing, can solve problems such as limiting the development of artificial intelligence, and achieve the effect of avoiding network overfitting, increasing feature differences, and improving accuracy.

Active Publication Date: 2022-03-11
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

If the result of image recognition is inaccurate, there must be a problem with the information obtained by the processor processing the inaccurate result. Therefore, the accuracy of image recognition is limited to a certain extent, which limits the development of artificial intelligence.

Method used

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  • Image recognition method and device
  • Image recognition method and device

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Embodiment Construction

[0057] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0058] In related technologies, since the interiors of the same series of cars are very similar, it is difficult to identify the different features of the interiors of different models of the same series of cars. In this way, the vehicle model cannot identify the specific model. Therefore, the recognition efficiency is poor and the user experience is poor. Low.

[0059] figure 1 is a...

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Abstract

The present disclosure relates to an image recognition method and device. The method includes: acquiring a group of part images, a group of part images including n part images, each part image showing a preset part of the object to be identified; n is an integer greater than 1; according to a group of part images and a preset network , determine n classification results; wherein, each classification result includes at least one model corresponding to a part image and the model probability of each model; the default network is a convolutional neural network that adds neuron discard probability, and the default network is trained through part image samples and model samples; the model of the object to be recognized is determined according to n classification results. In this technical solution, the accuracy rate of identifying similar types of objects to be identified is improved; at the same time, network overfitting can also be avoided.

Description

technical field [0001] The present disclosure relates to the field of image processing, in particular to an image recognition method and device. Background technique [0002] Currently, image recognition is an important field of artificial intelligence. If the result of image recognition is inaccurate, there must be a problem with the information obtained by the processor processing the inaccurate result. Therefore, the accuracy of image recognition limits the development of artificial intelligence to a certain extent. Contents of the invention [0003] Embodiments of the present disclosure provide an image recognition method and device. Described technical scheme is as follows: [0004] According to a first aspect of an embodiment of the present disclosure, an image recognition method is provided, including: [0005] Obtain a group of part images, the group of part images includes n part images, each part image shows a preset part of the object to be identified; the n ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06V10/44G06V10/764G06N3/04
CPCG06V10/40G06N3/045G06F18/241
Inventor 张水发
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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