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Image acquisition, target recognition, model training method and device

A technology of model training and target recognition, which is applied in the field of image processing, can solve problems affecting the reliability of image processing models, overfitting of image processing models, and high training costs, so as to reduce training costs, alleviate overfitting, and improve reliability effect

Active Publication Date: 2022-03-25
ZHEJIANG DAHUA TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0002] In the training tasks of image processing models, such as image segmentation, object recognition, text recognition, object classification, and object positioning, the samples that image processing models can include and process are limited, resulting in overfitting of image processing models and affecting image processing. The reliability of the model, and a large number of samples are included in the training process of the image processing model at the same time, and the training cost is relatively high

Method used

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  • Image acquisition, target recognition, model training method and device
  • Image acquisition, target recognition, model training method and device
  • Image acquisition, target recognition, model training method and device

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Experimental program
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specific Embodiment approach

[0040] Process the first image to obtain a positive sample set, that is, extract the target objects contained in multiple first images, and obtain positive samples by means of image matting, cropping, etc., and combine the positive samples to form a positive sample set.

Embodiment approach

[0042] The backgrounds other than the target object in the plurality of first images may be extracted through image matting, cropping, etc. to obtain negative samples, and the negative samples obtained from the first images are combined to form a first negative sample set. Moreover, since the negative samples in the first negative sample set are obtained in the first image, compared with the negative samples directly obtained in the second image, it can reflect the background characteristics when the target object exists, and has authenticity, and further Reduce model overfitting.

[0043] The backgrounds in the plurality of second images may be extracted through image matting, cropping, etc., to obtain negative samples, and the negative samples obtained from the second images are combined to form a second negative sample set. That is to say, in the sampling method of this embodiment, the source of positive samples is the first image, and the source of negative samples can be ...

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Abstract

The invention discloses a method and equipment for image acquisition, target recognition and model training. The image data acquisition method includes: processing the first image to obtain a positive sample set; and processing the first image and / or the second image to obtain a negative sample set; the first image contains the target object, and the second image does not contain the target object ;Based on the positive sample set and the negative sample set, the sample combination is performed to obtain multiple image subsets that are not the same; the positive samples and / or negative samples in every two image subsets in the multiple image subsets are different; the multiple image subsets use for training the same image processing model. Through the above method, the present invention can alleviate the overfitting of the image processing model, improve the reliability of the image processing model, and help reduce the training cost.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image data acquisition method, a target recognition model training method, a target recognition method, electronic equipment and a computer-readable storage medium. Background technique [0002] In the training tasks of image processing models, such as image segmentation, object recognition, text recognition, object classification, and object positioning, the samples that image processing models can include and process are limited, resulting in overfitting of image processing models and affecting image processing. The reliability of the model, and a large number of samples are included in the training process of the image processing model at the same time, and the training cost is relatively high. Contents of the invention [0003] In view of this, the technical problem mainly solved by the present invention is to provide an image data acquisition method, an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/75G06V10/774G06K9/62
CPCG06F18/22G06F18/214
Inventor 王超运殷俊潘华东孙鹤
Owner ZHEJIANG DAHUA TECH CO LTD
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