Data enhancement method, device, computing device and computer storage medium

A data and image enhancement technology, applied in the field of data processing, can solve the problem that it is difficult to produce expected and effective effects, and achieve the effect of improving generalization ability, strong adaptability, and overcoming the limited training image samples

Active Publication Date: 2021-12-14
杭州比智科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the common data enhancement methods are by performing perspective transformation, affine transformation, adding noise, adjusting color brightness, etc. on the entire image, or mixing multiple images with different weights. These data enhancement methods It is difficult to produce the expected effective effect in the image target detection task

Method used

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  • Data enhancement method, device, computing device and computer storage medium
  • Data enhancement method, device, computing device and computer storage medium
  • Data enhancement method, device, computing device and computer storage medium

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Embodiment Construction

[0034] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0035] figure 1 A schematic flowchart of a data enhancement method according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes the following steps:

[0036] Step S101, randomly generating N sets of mask data, and generating a random mask based on the N sets of mask data.

[0037] Specifically, an integer value N is randomly generated, wherein the value range of N is preferably [5,...

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Abstract

The invention discloses a data enhancement method, device, computing equipment and computer storage medium. Wherein, the method includes: randomly generating N sets of mask data, generating a random mask based on the N sets of mask data; performing background extraction processing on the training image to be enhanced to obtain the corresponding first background image and first foreground image; Background extraction processing to obtain the corresponding second background image; according to the random mask, perform background splicing processing on the first background image and the second background image to obtain a third background image; superimpose the first foreground image and the third background image Processing to obtain data-enhanced images. By diversifying, enriching, and complicating background images, the target detection model trained by using data-enhanced images can also have stronger adaptability under the condition of limited training image samples. Effectively improve the generalization ability of the target detection model, and greatly improve the accuracy of the target detection model.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data enhancement method, device, computing equipment and computer storage medium. Background technique [0002] In recent years, object detection models trained based on deep learning have achieved great success in image object detection tasks. The performance of object detection models relies heavily on a large number of training image samples, however, in real-world applications, it is difficult to obtain a large number of effective training image samples. [0003] In the image target detection of deep learning, there will be the following situation: in the case of a small training data set, the trained target detection model has a high accuracy rate on the training set, but the accuracy rate in the test set or real application Relatively low, the generalization ability of the object detection model is poor. In order to overcome the above-mentioned problems,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T5/50G06T7/194
CPCG06T7/194G06T5/50G06T2207/20081G06V2201/07G06F18/214
Inventor 聂嘉栋
Owner 杭州比智科技有限公司
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