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Image processing method and device, computer equipment and storage medium

An image processing and image technology, applied in the field of image processing, can solve problems such as consumption, high complexity of manual cleaning, and multiple human resources, and achieve the effect of avoiding complexity and reducing human resource consumption.

Pending Publication Date: 2020-09-04
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, manual cleaning is more complex and requires more human resources

Method used

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  • Image processing method and device, computer equipment and storage medium
  • Image processing method and device, computer equipment and storage medium
  • Image processing method and device, computer equipment and storage medium

Examples

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Embodiment Construction

[0046] The image processing method of the present application is suitable for performing noise image recognition on the image samples required for the image category recognition task before the image recognition task, so as to identify image samples with wrong label categories. Wherein, the image recognition may be recognizing a category of an image, for example, recognizing a category of an object contained in the image, and the like. Of course, image recognition can also be applied to other scenarios that require image recognition based on labeled image samples.

[0047] The image processing method of the present application can be applied to a single computer device capable of image processing such as a server or a personal computer, or to a system composed of multiple computer devices such as a cloud platform or a server cluster.

[0048] For ease of understanding, a scenario where the solution of the present application is applied to a cloud platform is used as an example...

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Abstract

The invention discloses an image processing method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining an image marked with a category label and a description text associated with the image; extracting image features of the image; determining text features of the image based on the image description text; converting the image features of the image into first label features by using a first feature mapping model; determining a second label feature corresponding to the text feature of the image based on a second feature mapping model; and if the matching degree of the first label feature and the second label feature meets the condition, determining that the category label marked by the image is correct. According to the scheme, the complexity ofidentifying whether the label category marked by the image is accurate or not can be reduced, and the human resource consumption is reduced.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image processing method, device, computer equipment and storage medium. Background technique [0002] In image recognition scenarios, it is necessary to obtain a large number of images labeled with category labels, for example, to train a recognition model for image recognition based on multiple images labeled with category labels. [0003] Due to the influence of various factors, there may be many images with wrong category labels (commonly known as noisy images with wrong category labels) in the images labeled with category labels. For example, due to human reasons, the manually labeled category label is wrong; or, the image received through a search engine and the like does not match the category label corresponding to the image, etc. These images with wrong category labels will greatly affect the recognition performance of image recognition. Therefo...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V10/751G06F18/241
Inventor 郭卉
Owner TENCENT TECH (SHENZHEN) CO LTD