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Image data enhancement method, model training method, equipment and storage medium

An image data and image enhancement technology, applied in the field of image processing, can solve the problems of poor robustness, insufficient training samples, insufficient data richness, etc., to achieve the effect of improving diversity and enriching image samples

Pending Publication Date: 2020-05-15
UBTECH ROBOTICS CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The current object recognition algorithm based on deep learning relies on a large amount of image data, but the image data we obtain cannot cover all possible situations in life, and the object recognition model trained directly using original image data has poor robustness when used in reality. , highly susceptible to environmental lighting, environmental background, object angle, object color and other factors
Therefore, it is necessary to adopt an image data enhancement method applied to object recognition to generate rich image samples, so as to solve the problems of insufficient training samples and insufficient data richness.

Method used

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  • Image data enhancement method, model training method, equipment and storage medium
  • Image data enhancement method, model training method, equipment and storage medium
  • Image data enhancement method, model training method, equipment and storage medium

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Embodiment Construction

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them.

[0019] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0020] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " i...

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Abstract

The invention discloses an image data enhancement method, a model training method and device, and a storage medium, and the method comprises the steps: obtaining original image data, carrying out thepreprocessing of the original image data to obtain preprocessed image data, the data type of the preprocessed image data being a floating point type; performing enhancement processing on the preprocessed image data by adopting at least a first image enhancement mode to obtain first enhanced image data; performing enhancement processing on the first enhanced image data by adopting at least a secondimage enhancement mode to obtain second enhanced image data; and outputting an enhanced image based on the second enhanced image data. Through the method, the original image data can be enhanced, andtechnical support is provided for improving the diversity of image samples.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image data enhancement method, a model training method, a device and a storage medium. Background technique [0002] The current object recognition algorithm based on deep learning relies on a large amount of image data, but the image data we obtain cannot cover all possible situations in life, and the object recognition model trained directly using original image data has poor robustness when used in reality. , is highly susceptible to environmental lighting, environmental background, object angle, object color and other factors. Therefore, it is necessary to adopt an image data enhancement method applied to object recognition to generate rich image samples, so as to solve the problems of insufficient training samples and insufficient data richness. Contents of the invention [0003] The technical problem mainly solved by this application is to provide a...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/00G06N3/08G06N3/04
CPCG06N3/08G06N3/045G06T3/02G06T5/00G06T5/77G06T5/70
Inventor 黄冠文程骏庞建新谭欢熊友军
Owner UBTECH ROBOTICS CORP LTD
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