Sample image determination method and device, electronic equipment and storage medium

A technology for sample images and determination methods, applied in the field of image processing, can solve the problems of difficult to improve the prediction accuracy of image classification models, and achieve the effect of saving human resources

Active Publication Date: 2019-10-15
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

In the learning process of the image classification model, even a large number of simple sample images are difficult to greatly improve the prediction accuracy of the image classification model, while difficult sample images often bring a greater impact on the prediction accuracy of the image classification model. promote

Method used

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  • Sample image determination method and device, electronic equipment and storage medium
  • Sample image determination method and device, electronic equipment and storage medium
  • Sample image determination method and device, electronic equipment and storage medium

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Embodiment Construction

[0030] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0031] figure 1 is a flow chart of a method for determining a sample image according to an exemplary embodiment, as shown in figure 1 The sample image determination method shown is used in an electronic device and includes the following steps:

[0032] Step 101: Using a first preset number of classifiers to predict each sample image respectively, to obtain a prediction vector corresp...

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Abstract

The present disclosure relates to a sample image determination method and device, electronic equipment, and a storage medium, wherein the method includes: using a first preset number of classifiers to respectively predict each sample image, and obtain the corresponding Prediction vectors: respectively converting the prediction vectors corresponding to the sample images into probability vectors; determining the difficult sample images from the sample images according to the probability vectors corresponding to the sample images. The sample image determination provided by the present disclosure can accurately and quickly extract difficult sample images from multiple sample images without manual intervention, which can save human resources.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a method and device for determining a sample image, electronic equipment, and a storage medium. Background technique [0002] Recently, deep learning has been widely used in video image, speech recognition, natural language processing and other related fields. Convolutional neural network is an important branch of deep learning. Due to its strong fitting ability and end-to-end global optimization ability, the prediction accuracy of video image classification tasks is greatly improved after applying convolutional neural network. Although the current image classification model has a certain ability to classify images, there are still a large number of wrongly predicted sample images. How to further optimize the image classification model has become a problem that needs to be solved. [0003] Hard sample images tend to play a larger role than easy sample image...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/214G06F18/2415
Inventor 张志伟王希爱王树强
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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