Method for training image recognition model, image recognition method and image recognition equipment

A training image and image recognition technology, applied in the field of image recognition, can solve problems such as unguaranteed quality and poor performance, and achieve good performance and enhanced generalization

Pending Publication Date: 2021-09-17
MEGVII BEIJINGTECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In model training, the image training set used is often images taken by certain cameras, but in actual use of image recognition products (such as face recognition products) or SDKs, the image

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  • Method for training image recognition model, image recognition method and image recognition equipment
  • Method for training image recognition model, image recognition method and image recognition equipment
  • Method for training image recognition model, image recognition method and image recognition equipment

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[0026] In order to make the objects, technical solutions and advantages of the present application, the exemplary embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are merely a part of the embodiments of the present application, rather than all embodiments of the present application, to be understood, the present application is not limited by the example embodiments described herein. Based on the present application described in the present application, those skilled in the art should fall within the scope of the application without paying creative labor.

[0027] In recent years, it has made important progress based on computer visual, deep learning, machine learning, image processing, image recognition, and other technological research. Artificial Intelligence (AI) is an emerging science technology for research, development for simulation, extension of intelligence, and emerg...

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Abstract

The invention discloses a method for training an image recognition model, an image recognition method and image recognition equipment, and the method comprises the steps: obtaining an initial training image, augmenting image signal processing of the initial training image, and obtaining a processed training image; and training an image recognition model based on the processed training image. According to the scheme of the invention, the augmentation processing of the image signal processing is carried out on the initial training image, so that the training images shot by various different cameras can be simulated based on the training images shot by one or more cameras. Therefore, generalization of the image recognition model obtained based on image training after augmentation processing on different modules is enhanced, so that the image recognition model has good performance when performing image recognition on to-be-recognized images shot by different imaging modules.

Description

technical field [0001] The present application relates to the technical field of image recognition, and more specifically relates to a method for training an image recognition model, an image recognition method, and an image recognition device. Background technique [0002] Image recognition refers to the technology of using computers to process, analyze and understand images to identify various targets and objects. It is a practical application of deep learning algorithms. Image recognition is generally performed based on a trained neural network model, and the quality of the image to be recognized will significantly affect the performance of the image recognition algorithm executed by the neural network model. [0003] In model training, the image training set used is often images taken by certain cameras, but in actual use of image recognition products (such as face recognition products) or SDK, the images to be recognized input into the model may vary widely. , its qual...

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Application Information

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IPC IPC(8): G06K9/62G06T5/00G06T5/40
CPCG06T5/40G06T5/002G06T2207/20192G06T2207/20081G06F18/214
Inventor 杨馥蔚
Owner MEGVII BEIJINGTECH CO LTD
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