Method for training color spot detection model and related device

A technology for detecting models and color spots, which is applied in the field of training color spot detection models, can solve the problems of tediousness and low detection accuracy, and achieve the effects of high detection accuracy, improved accuracy, and avoiding interference

Pending Publication Date: 2021-04-06
深圳数联天下智能科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing face color spot detection mainly adopts image processing method to extract the color spot area from the possible area

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
  • Method for training color spot detection model and related device
  • Method for training color spot detection model and related device
  • Method for training color spot detection model and related device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[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, not to limit the present application.

[0053] It should be noted that, if there is no conflict, various features in the embodiments of the present...

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 embodiment of the invention relates to the technical field of target detection, in particular to a method for training a color spot detection model and a related device, and aims to reduce the interference of area features (such as background features and facial features) without color spots on a training model by intercepting images in an image sample set into candidate area images. Therefore, the accuracy of model training can be improved; resolution enhancement processing and size adjustment are performed on each candidate region image containing color spots to obtain a plurality of training images with consistent sizes, so that interference of the sizes on model learning can be effectively avoided, and the features of the color spots are enhanced; besides, the number of the color spots is introduced in the training process to restrain the positions of the color spots, the prediction positions of the color spots can be trained in the direction the same as the positions of the real color spots, and the model training precision is further improved; the improvement of the multi-training precision enables the detection precision of the color spot detection model obtained through the training of the method to be higher.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of target detection, and in particular, to a method for training a stain detection model and a related device. Background technique [0002] With the rapid development of mobile communication technology and the improvement of people's living standards, various smart terminals have been widely used in people's daily work and life, making people more and more accustomed to using APP and other software, making beauty selfies, taking pictures and measuring skin There are more and more APP demands for such functions, so many users hope that this kind of APP can automatically analyze the color spots on the face, and propose targeted skin improvement solutions according to the color spots. [0003] Existing face color spot detection mainly adopts image processing method to extract the color spot area from the possible areas of color spots. This method is too cumbersome and is easily affected b...

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
IPC IPC(8): G06T7/11G06T7/73G06N3/04G06N3/08G06K9/00
CPCG06T7/11G06T7/73G06N3/08G06T2207/20081G06T2207/20084G06T2207/30201G06V40/165G06N3/045
Inventor 陈仿雄
Owner 深圳数联天下智能科技有限公司
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