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Target recognition training method and device, computer equipment and storage medium

A target recognition and training method technology, applied in the field of devices, target recognition training methods, computer equipment and storage media, can solve the problem of unbalanced learning samples

Pending Publication Date: 2020-04-28
SHENZHEN MIRACLE WISDOM NETWORK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to address the above technical problems and provide a training method, device, computer equipment and storage medium for target recognition that can solve the problem of unbalanced learning samples

Method used

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  • Target recognition training method and device, computer equipment and storage medium
  • Target recognition training method and device, computer equipment and storage medium
  • Target recognition training method and device, computer equipment and storage medium

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Embodiment Construction

[0060]In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0061] The target recognition training method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The terminal 102 may acquire corresponding video stream data from the server 104 by sending a request to the server 104 . Specifically, the terminal 102 sends a data acquisition request to the server 104, so that the server 104 queries the corresponding video stream data according to the received data acquisition request, and sequentially transmits...

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Abstract

The invention relates to a target recognition training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring video stream data, wherein the video stream data comprises multiple frames of images; reading the image, detecting a corresponding target in the image, and generating a plurality of types of sample image sets by utilizing the target;training the sample image sets of multiple categories by using a recognition model to obtain recognition probabilities corresponding to the categories; adjusting samples in the corresponding sample image set according to the identification probability; and optimizing the identification model by using the adjusted sample image set, and training the optimized identification model through the adjusted sample image set. By adopting the method, the problem of poor model learning effect caused by unbalanced samples can be solved, so that the trained recognition model can perform accurate target recognition, and the problems of under-fitting and over-fitting of the training model are avoided.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a target recognition training method, device, computer equipment and storage medium. Background technique [0002] With the development of machine learning and deep learning technology, more and more users use deep learning technology to identify targets. In the field of artificial intelligence, machine learning and deep learning need to improve the accuracy of machine judgment by learning a large number of sample cases. Especially in the specific target recognition in the field of machine vision, it is necessary to mark out the sample images with the target, and carry out a large amount of training on the target sample image set, so that the training model has the ability to recognize multiple target samples at the same time. [0003] However, in the current training method of target recognition, it is difficult to solve the problem of unbalanced learning samples by...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2415G06F18/214
Inventor 岑俊毅李立赛傅东生
Owner SHENZHEN MIRACLE WISDOM NETWORK CO LTD
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