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Automatic generation method and system for picture sample

A sample and picture technology, applied in character and pattern recognition, editing/combining graphics or text, instruments, etc., can solve problems such as automatic generation of training pictures

Active Publication Date: 2019-08-30
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, only editing and transforming images is not enough to automatically generate a large number of training images

Method used

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  • Automatic generation method and system for picture sample
  • Automatic generation method and system for picture sample
  • Automatic generation method and system for picture sample

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Embodiment Construction

[0032] In order to make the above objects, features and advantages of the present disclosure more comprehensible, specific implementations of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0033] Many specific details are set forth in the following description to facilitate a full understanding of the present disclosure, but the present disclosure can also be implemented in other ways than those described here, so the present disclosure is not limited by the specific embodiments disclosed below.

[0034] Generally speaking, when constructing a training sample set, multiple labeled samples are included, that is, whether these samples are positive examples (also called white samples) or negative examples (also called black samples) are identified by class labels.

[0035] When training the image recognition ability of existing websites or App applications, static black samples are generally included. The black sample mat...

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Abstract

The invention provides an automatic generation method for picture samples. The method comprises the steps of obtaining an original picture sample; editing the original picture sample for one or more times to obtain a plurality of edited picture samples; forming a picture sample set by the original picture sample and the plurality of edited picture samples; inputting a subset of the set of picturesamples into a model such that the model determines whether each picture sample in the subset is an identifiable sample or an unidentifiable sample; and feeding back the determined unrecognizable sample to the model to reduce blind spots of the model.

Description

technical field [0001] The present disclosure relates generally to machine learning, and more particularly to sample generation in machine learning. Background technique [0002] With the rapid development of the Internet, from website forums in the PC era to App applications in the mobile Internet era, while opening user communication, publishing articles or comments, they are all faced with various types of pictures such as spam advertisements, pornographic propaganda, political violence, etc. Troubled by garbage and sensitive vocabulary information. And compared to text information, image information is more difficult to recognize. In order to create a harmonious network environment and ensure the interests of most users, website administrators or App application entities must have the ability to identify and process sensitive information similar to spam, and need to have corresponding image training samples to test the system's identification and processing capabilities...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T11/60
CPCG06T11/60G06F18/214
Inventor 赵俊生
Owner ADVANCED NEW TECH CO LTD