Method and device for evaluating vehicle loss recognition model

A technology for identifying models and vehicle damage, applied in the field of machine learning, it can solve problems such as long waiting time, poor experience, and large labor costs, achieve good optimization goals, and avoid disputes and noise.

Active Publication Date: 2019-07-12
ADVANCED NEW TECH CO LTD
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the need for manual survey and loss assessment, insurance companies need to invest a lot of labor costs and professional knowledge training costs
From the experience of ordinary users, the claim settlement process is as long as 1-3 days due to waiting for the manual surveyor to take pictures on the spot,

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 and device for evaluating vehicle loss recognition model
  • Method and device for evaluating vehicle loss recognition model
  • Method and device for evaluating vehicle loss recognition model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The solutions provided in this specification will be described below in conjunction with the accompanying drawings.

[0059] First, the general idea of ​​the embodiment scheme is described. The general idea originates from the inventor's analysis and research on human visual ability.

[0060] After observation and research, the inventor thinks that people's visual ability can be divided into normal ordinary visual ability and supervisual ability. Normal ordinary vision ability can accurately identify salient objects, while super vision ability can observe and recognize non-salient objects on the basis of normal ordinary vision ability.

[0061] In the scene of vehicle damage identification in order to determine the damage of the vehicle, people with normal ordinary vision can notice and observe the generally significant damage, while the insignificant damage requires super vision ability to notice, and can be compared with Distinguish between situations such as highly...

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 provides a method and a device for evaluating a vehicle loss recognition model, and the method comprises the steps: firstly, obtaining a test sample, a vehicle loss picture corresponding to the test sample, and a plurality of groups of annotation data, and the plurality of groups of annotation data being generated by annotating the vehicle loss picture at least based on a plurality of annotation personnel; then determining an intersection and a union of multiple groups of labeled data, and determining a significant damage object set in the test sample accordingto the intersection; and determining a non-significant damage object set in the test sample according to the difference between the intersection and the union. In addition, the vehicle damage pictureis input into a pre-trained vehicle damage recognition model, and a predicted damage object set output by the model for the test sample is obtained. Therefore, the test result of the vehicle damage identification model on the test sample can be determined according to the relationship between the predicted damage object set and the significant damage object set and the relationship between the predicted damage object set and the non-significant damage object set.

Description

technical field [0001] One or more embodiments of this specification relate to the field of machine learning, and in particular to a method and device for evaluating a vehicle damage recognition model. Background technique [0002] In the process of traditional auto insurance claims, the insurance company needs to send professional survey and loss assessment personnel to the accident scene to conduct on-site survey and assessment of damage, provide the vehicle maintenance plan and compensation amount, and take photos of the scene, and keep the damage assessment photos for background verification Personnel check damage and price. Due to the need for manual damage assessment, insurance companies need to invest a lot of labor costs and professional knowledge training costs. From the experience of ordinary users, the claim settlement process takes as long as 1-3 days due to waiting for the manual surveyor to take pictures on site, the damage assessor to determine the damage at ...

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): G06Q40/08G06K9/62
CPCG06Q40/08G06F18/214
Inventor 徐娟
Owner ADVANCED NEW TECH CO LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap