Detection model training method and device, storage medium and computer equipment

A technology for detecting models and training methods, applied in the field of machine learning, can solve problems such as low model training efficiency, achieve the effect of reducing labor costs and labeling efficiency, and improving model training efficiency

Pending Publication Date: 2020-06-19
广州腾讯科技有限公司
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a detection model training method, device, computer-readable storage medium and computer equipment for the technical problem of low model training efficiency caused by human labeling data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Detection model training method and device, storage medium and computer equipment
  • Detection model training method and device, storage medium and computer equipment
  • Detection model training method and device, storage medium and computer equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] 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.

[0053] figure 1 It is an application environment diagram of the detection model training method in one embodiment. refer to figure 1 , the detection model training method is applied to a detection model training system. The detection model training system includes a terminal 110 and a server 120 . Terminal 110 and server 120 are connected via a network. The terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a detection model training method and device, a storage medium and a computer device. The method comprises the steps of obtaining a to-be-processed original image and more than one type of marked images; for each type of marked image, randomly selecting a target position from a target area of the original image as an embedding position of the marked image; for each type ofmarked images, respectively embedding at least one part of the marked images into the original image according to the corresponding embedding positions to obtain corresponding sample images; taking the sample image as a training sample, and taking the mark type of the mark image embedded in the sample image as a corresponding training label; and training a to-be-trained detection model through the training sample and the corresponding training label. According to the scheme provided by the invention, the training efficiency can be improved.

Description

technical field [0001] The present application relates to the technical field of machine learning, in particular to a detection model training method, device, computer-readable storage medium and computer equipment. Background technique [0002] With the development of computer technology, machine learning technology has emerged. Through machine learning technology, computers can be trained to simulate or realize human learning behavior, thus bringing convenience to people's life and work. For example, in the field of image processing, the model can be trained through training data so that the model can learn the ability of classification or positioning, so that machines can replace manpower to process images. [0003] In practical applications, for example, when it is necessary to train a detection model that can recognize target objects (such as watermarks or trademarks), a large amount of labeled data is often required for model training. However, the traditional method ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06K9/62G06N20/00
CPCG06T1/0021G06N20/00G06T2201/0065G06F18/214
Inventor 毛懿荣李岩王汉杰陈波
Owner 广州腾讯科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products