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Sample image screening method and device, electronic device, and storage medium

A technology of sample images and screening methods, applied in the field of image processing, can solve problems such as loss, illegality, and defect, and achieve the effect of saving human resources

Active Publication Date: 2019-02-26
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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Problems solved by technology

Once the video of this kind of "new" data is bad or even illegal, it will cause immeasurable losses

Method used

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  • Sample image screening method and device, electronic device, and storage medium
  • Sample image screening method and device, electronic device, and storage medium
  • Sample image screening method and device, electronic device, and storage medium

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Embodiment Construction

[0027] 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.

[0028] figure 1 is a flow chart of a sample image screening method shown according to an exemplary embodiment, such as figure 1 The sample image filtering method shown is used in a terminal and includes the following steps:

[0029] Step 101: Use an image classifier to predict each sample image to be screened, and obtain the feature vector and classification label corresponding to ea...

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Abstract

The invention discloses a sample image screening method and device, an electronic device and a storage medium, wherein, the method comprises the following steps: adopting an image classifier to predict each sample image to be screened respectively to obtain a feature vector and a classification label corresponding to each sample image; clustering feature vectors corresponding to each sample image,and respectively determining a clustering center to which each sample image belongs; merging the clustering centers according to the clustering centers and the classification tags corresponding to the sample images; selecting a target sample images according to the merging results. The disclosed sample image screening method can timely and accurately screen new data without manual intervention, can save human resources, and can further generate new labels through the screened new data.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a sample image screening method and device, 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. However, when an image is used for category prediction using a convolutional neural network, it can only give the probability that the image belongs to the label in the training data. For example, using a model trained on a data set that only includes "cat" and "dog", when predicting an image of "monkey", it can only give the probability tha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/241
Inventor 张志伟吴丽军赵伟阳
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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