Image recognition method and apparatus
An image recognition and image technology, applied in the field of image recognition, can solve the problems of low recognition accuracy and low efficiency of category label pictures, and achieve the effect of improving efficiency
Active Publication Date: 2017-03-08
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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[0003] The recognition accuracy of the general image recognition model will not reach 100%. If the image recognition model needs to recognize a large number of pictures, there will be many pictures with wrong category labels added to the corresponding large number of pictures. Find images with wrong category labels, which leads to low efficiency in obtaining pictures with wrong category labels
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[0054] The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. Rather, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.
[0055] An exemplary embodiment of the present disclosure provides a method of image recognition, which may be implemented by a server. The server may be a background server of the application program that uses the image verification code. The server can be provided with a processor, memory, transceiver, etc. The processor can be used to process the image recognition process, and ...
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The invention discloses an image recognition method and apparatus, and belongs to the computer technical field. The image recognition method comprises the steps of correspondingly adding a first image and a first category label into an image verification code database; in a verification code verification process for a terminal based on the image verification code database, if a correct verification code image corresponding to the first category label sent to the terminal comprises the first image, and the verification code image selected by the terminal does not include the first image, recording that the first image suffers from a category label mismatching event; and when the recorded times of the category label mismatching event corresponding to the first image satisfy a first preset quantity condition, marking that the first image and the first category label are mismatched. By adoption of the image recognition method and apparatus, the recognition efficiency of the images with wrong category labels can be improved.
Description
Technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for image recognition. Background technique [0002] With the development of computer technology, the image recognition model can be obtained by training the images in the sample image database based on deep learning algorithms (for example, based on the convolutional neural network algorithm, training the images in the sample image database to obtain CNN (Convolutional Neural) Network, convolutional neural network) training model)), the image recognition model can identify the category of the picture, and add the corresponding category label to the picture. [0003] Generally, the recognition accuracy of image recognition models will not reach 100%. If the image recognition model needs to recognize a large number of pictures, there will be more pictures with wrong category tags added to the corresponding large number of pictures. The technicians need to le...
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IPC IPC(8): G06K9/62
CPCG06F18/22
Inventor 陈志军万韶华龙飞
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD