首页> 外国专利> SYSTEM AND METHOD FOR GENERATION AND AUGMENTATION OF ANNOTATION LEARNING DATA FOR DEEP LEARNING IN ARTIFICIAL INTELLIGENCE PICTURE READING

SYSTEM AND METHOD FOR GENERATION AND AUGMENTATION OF ANNOTATION LEARNING DATA FOR DEEP LEARNING IN ARTIFICIAL INTELLIGENCE PICTURE READING

机译:用于人工智慧图片阅读的深度学习的注释学习数据的生成和增强的系统和方法

摘要

The present invention relates to an annotation learning data generation and augmentation system and method for deep learning learning of artificial intelligence images. The annotation learning data generation and augmentation system includes: a learning data generation unit that generates learning data through annotations for registering objects for deep learning learning and distinguishing registered objects in an image image to register object types and object areas; A deep learning learning unit that generates a learning model by performing deep learning learning on an object through a deep learning algorithm using the learning data as an input, and selects the learning model generated by the deep learning learning unit as an image reading model to select an object on an image. And a deep learning reading unit for reading the information. With this configuration, the learning data used for deep learning learning of the artificial intelligence image reading system can be automatically augmented through image augmentation to secure a sufficient amount of learning data, and the learning data generated through annotation of the image image The image can be enhanced to increase the amount of learning data.
机译:本发明涉及用于人工智能图像的深度学习学习的注释学习数据生成和增强系统及方法。注释学习数据生成和扩充系统包括:学习数据生成单元,其通过注释生成学习数据,用于注册用于深度学习的对象,并区分图像图像中的已注册对象以注册对象类型和对象区域。深度学习学习单元通过使用学习数据作为输入通过深度学习算法对对象执行深度学习学习来生成学习模型,并且选择由深度学习学习单元生成的学习模型作为图像读取模型以进行选择图像上的对象。以及用于阅读信息的深度学习阅读单元。利用该配置,可以通过图像增强来自动增强用于人工智能图像读取系统的深度学习的学习数据,以确保足够数量的学习数据,并且通过对图像图像进行注释而生成的学习数据。增强功能以​​增加学习数据量。

著录项

  • 公开/公告号KR20200087310A

    专利类型

  • 公开/公告日2020-07-21

    原文格式PDF

  • 申请/专利权人 소프트온넷(주);

    申请/专利号KR20180171875

  • 发明设计人 송동호;인연진;김영필;

    申请日2018-12-28

  • 分类号G06N3/08;G06N3/04;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:24

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