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Image classification method, device, computer equipment and medium

A classification method and image technology, applied in the field of image processing, can solve problems such as user misleading

Active Publication Date: 2022-06-24
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the classification model can only output classification results. If the classification results are not accurate enough, it may mislead users.

Method used

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  • Image classification method, device, computer equipment and medium
  • Image classification method, device, computer equipment and medium
  • Image classification method, device, computer equipment and medium

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Embodiment Construction

[0083] In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0084] It is understood that the terms "first", "second" and the like used in this application may be used herein to describe various concepts, but these concepts are not limited by these terms unless otherwise specified. These terms are only used to distinguish one concept from another. For example, a first prediction result may be referred to as a second prediction result, and similarly, a second prediction result may be referred to as a first prediction result, without departing from the scope of this application.

[0085] As used in this application, the terms "at least one", "plurality", "each" and "any", at least one includes one, two or more, multiple includes two or more, and each Each refers to each of the corresponding multiple...

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Abstract

The embodiment of the present application discloses an image classification method, device, computer equipment and medium, belonging to the field of image processing. The method includes: calling the first classification sub-model in the classification model, classifying the target image, and obtaining the first prediction result of the target image; calling the second classification sub-model in the classification model, classifying the target image, and obtaining the target image The second prediction result of the image; call the third classification sub-model in the classification model, classify the target image, and obtain the third prediction result of the target image, the training sample data of the third classification sub-model includes sample images and according to multiple The result obtained by labeling the result statistics; output the third prediction result and the classification difficulty of the target image. The classification difficulty is determined according to the first prediction result and the second prediction result. The classification difficulty can indicate the accuracy of the model output result, and avoid the model's confusion on the user. misleading.

Description

technical field [0001] The present application relates to the field of image processing, and in particular, to an image classification method, apparatus, computer equipment and medium. Background technique [0002] With the development of artificial intelligence technology and image processing technology, the current classification of images is more and more based on classification models. After training the classification model, the computer device can call the classification model to classify the image, and obtain the classification result of the image, so as to determine whether the image belongs to the target category of the classification model. However, the classification model can only output classification results, and if the classification results are not accurate enough, users may be misled. SUMMARY OF THE INVENTION [0003] The embodiments of the present application provide an image classification method, apparatus, computer equipment and medium, which can redu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06K9/62G06V10/774
CPCG06F18/241G06F18/214
Inventor 余双马锴郑冶枫边成初春燕刘含若王宁利
Owner TENCENT TECH (SHENZHEN) CO LTD
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