Method and device for evaluating vehicle damage recognition model

A technology for identifying models and vehicle damage, applied in the field of machine learning, can solve the problems of long waiting time, high labor cost, large labor cost, etc., to avoid disputes and noise, and achieve the effect of optimizing the goal.

Active Publication Date: 2021-02-19
ADVANCED NEW TECH CO LTD
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  • 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, the damage assessor to determine the damage at the repair location, and the loss checker to verify the damage in the background. , poor experience
[0003] Aiming at the industry pain points of huge labor costs in traditional auto insurance claims, some intelligent image loss determination solutions are proposed

Method used

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

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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...

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Abstract

The embodiment of this specification provides a method and device for evaluating a car damage recognition model. The method includes firstly obtaining a test sample, the test sample corresponds to a car damage picture and multiple sets of labeling data, the multiple sets of labeling data are at least based on multiple labeling personnel The car damage picture is generated by labeling; then determine the intersection and union of multiple sets of labeled data, and determine the set of significant damage objects in the test sample according to the intersection; and determine the non-destructive objects in the test sample according to the difference between the intersection and the union. A collection of significantly damaged objects. In addition, the above-mentioned car damage pictures are input into the pre-trained car damage recognition model to obtain a set of predicted damage objects output by the model for the test sample. Therefore, the test result of the vehicle damage recognition model for the test sample can be determined according to the relationship between the predicted damage object set and the salient damage object set and the non-notice 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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q40/08G06K9/62
CPCG06Q40/08G06F18/214
Inventor 徐娟
Owner ADVANCED NEW TECH CO LTD
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