Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Target detection model training method and device and communication equipment

A technology of target detection and model training, which is applied in the field of robotics, can solve the problems of long training time and achieve the effect of improving detection accuracy and saving labeling time

Pending Publication Date: 2021-06-25
UBTECH ROBOTICS CORP LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a target detection model training method, which can solve the problem that the training time of the target detection model with high detection accuracy is too long

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
  • Target detection model training method and device and communication equipment
  • Target detection model training method and device and communication equipment
  • Target detection model training method and device and communication equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0031] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0032] It should...

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 is suitable for the technical field of robots, and provides a target detection model training method and device and communication equipment, and the method comprises the steps of obtaining first images which are manually labeled images, and one first image uniquely corresponds to one piece of labeling information; processing the first image to obtain a second image different from the first image, the annotation information of the second image being the same as the annotation information of the first image; and training a to-be-trained target detection model according to the first image and the second image to obtain a trained target detection model. Through the method, the trained target detection model with relatively high detection precision can be rapidly trained.

Description

technical field [0001] The present application belongs to the field of robot technology, and in particular relates to a target detection model training method, device, communication device and computer-readable storage medium. Background technique [0002] Target detection is one of the hot research directions in the field of computer vision at present, and its purpose is to obtain the category information and position information of the target in the image. With the development of deep learning technology, more and more object detection applications have begun to land, and great progress has been made in video surveillance, automatic driving, and human-computer interaction. For humans, it is not difficult to complete target detection. Humans can easily locate and classify target objects through their perception of different color modules in the image. But for a computer, a Red Green Blue (RGB) image is a red green blue pixel matrix, it is difficult to directly get abstract...

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): G06T7/00G06T5/00G06T7/11
CPCG06T7/0002G06T7/11G06T2207/20081G06T2207/20221G06T5/92
Inventor 邵池程骏林灿然郭渺辰庞建新
Owner UBTECH ROBOTICS CORP LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com