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Sample screening method, device and computer equipment

A screening method, computer technology, applied in computer parts, computing, neural learning methods, etc., can solve the problem of not being able to automatically and quickly pick out normal samples

Active Publication Date: 2020-12-04
PINGAN INT SMART CITY TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a sample screening method, aiming to solve the technical problem that normal samples cannot be picked out automatically and quickly

Method used

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  • Sample screening method, device and computer equipment
  • Sample screening method, device and computer equipment
  • Sample screening method, device and computer equipment

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0050] refer to figure 1 , the sample screening method of an embodiment of the present application, comprising:

[0051] S1: Input all the samples to be screened into the Yolov3 neural network model;

[0052] S2: Obtain the computer-labeled frame data obtained by identifying each of the samples to be screened by the Yolov3 neural network model, and the manually-labeled frame data corresponding to each of the samples to be screened obtained in advance;

[0053] S3: Calculate the average accuracy corresponding to each of the samples to be screened respectively according to...

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Abstract

This application involves artificial intelligence and blockchain technology, and discloses a sample screening method, including: inputting all the samples to be screened into the Yolov3 neural network model; obtaining the computer marked frame data obtained by the Yolov3 neural network model to identify each sample to be screened, and The manually labeled frame data corresponding to each sample to be screened is obtained in advance; according to the computer labeled frame data and the manually labeled frame data corresponding to each sample to be screened, the average precision corresponding to each sample to be screened is calculated respectively ; compare the relationship between the average precision corresponding to each sample to be screened and the first preset value; classify the samples to be screened with the average precision less than or equal to the first preset value as inferior samples, and classify the average precision greater than the first preset value The samples to be screened with the set value are divided into normal samples. Calculate the average accuracy of the samples through the computer marked frame data and manual marked frame data to realize automatic and fast picking of samples.

Description

technical field [0001] This application relates to the field of artificial intelligence and block chain technology, in particular to sample screening methods, devices and computer equipment. Background technique [0002] Training samples play a vital role in model training. However, due to the subjective factors of human labeling in sample labeling and the large number of training samples, it is impossible to manually filter out parts such as smearing, occlusion, and illegible handwriting. Inferior samples affect the model training effect. Or the scarcity of samples in some scenarios leads to a serious shortage of training samples, resulting in low accuracy of the trained model. The existing technology cannot identify and eliminate inferior samples, and cannot automatically and quickly pick out normal samples. Contents of the invention [0003] The main purpose of this application is to provide a sample screening method, aiming to solve the technical problem that normal ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/08G06V2201/07G06F18/214
Inventor 黄哲
Owner PINGAN INT SMART CITY TECH CO LTD
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