Image data management method, device and system, equipment and medium

A technology of image data and management methods, applied in the field of image management, can solve the problems of fragmentation, independent data sets, and inability to form reusability, etc., achieve flexible design, break reuse barriers, and reduce data repetition costs.

Active Publication Date: 2020-01-14
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the lack of a unified public and management method among data sets, each independent task will create a set of exclusive image data sets from scratch according to its own goals, which makes natural barriers between data, unable to form reusability, and subtle tasks between tasks. The difference requires re-customizing the exclusive data set
That is to say, it has caused a lot of repetitive consumption, and the status quo of independent, decentralized and fragmented data sets has emerged

Method used

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  • Image data management method, device and system, equipment and medium
  • Image data management method, device and system, equipment and medium
  • Image data management method, device and system, equipment and medium

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Embodiment Construction

[0029]Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.

[0030] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, s...

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Abstract

The invention provides an image data management method. The image data management method comprises the steps of obtaining collected first image data; storing the first image data in a corresponding first logical partition in an original data storage pool based on a category of the first image data; executing data cleaning and data annotation on the first image data of the at least one first logicpartition to obtain processed second image data, annotation data and an index relationship between the second image data and the annotation data; based on the category of the second image data, storing the second image data and the annotation data in corresponding logic partitions, and storing the index relationship and the logic partition information in a data relationship index pool; and in response to the received data multiplexing request, searching the index relationship based on the task type of the data multiplexing request, and loading the second image data and the annotation data based on the index relationship to form a data set. The invention further provides an image data management device and system, electronic equipment and a medium.

Description

technical field [0001] The present disclosure relates to the technical field of image management, and in particular to an image data management method, device, system, equipment and medium. Background technique [0002] The field of pattern recognition, especially the field of image recognition based on artificial intelligence, involves a large number of model training and optimization scenarios. It is necessary to construct specific image data sets according to different task objectives in order to train, optimize and evaluate the recognition model. Image dataset construction takes a lot of time and is usually divided into steps such as data collection, data cleaning, data labeling, and dataset structure organization. [0003] At present, the construction of image data sets is mostly based on manual methods, that is, according to the type and content of data required by the target task, a specialist is assigned to collect data manually, and then a series of operations such ...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F16/51G06F16/58
CPCG06F16/51G06F16/5866
Inventor王雨辰李德强罗涛李兵
OwnerINDUSTRIAL AND COMMERCIAL BANK OF CHINA