SYSTEM AND METHOD FOR TRAINING A DAMAGE IDENTIFICATION MODEL

Patent №

US 11,080,839

Granted

2021-08-03

Filed 2019

Owner

ALIBABA GROUP HOLDING LIMITED

Lab

AI components

5

ml · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16554223

A system is provided for identifying damages of a vehicle. During operation, the system can obtain a set of digital images associated with a set of tagged digital images as training data. Each tagged digital image in the set of tagged digital images may include at least one damage object. The system can train a damage identification model based on the training data. When training the damage identification model, the system may identify at least a damage object in the training data based on a target detection technique. The system may also generate a set of feature vectors for the training data. The system can use the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model. The system can then apply the trained damage identification model to obtain a damage category prediction result.

Machine learningVisionKnowledge representationPlanningAI hardwareG06F 16/55G06F 16/5866G06F 18/2113G06F 18/214G06F 18/24G06F 18/2413G06N 3/0464G06N 3/09+17 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Knowledge representation0.99
Planning0.93
Natural language0.19
Evolutionary computation0.04
Speech0.00

Ownership

ALIBABA GROUP HOLDING LIMITED

assignment · 518900632

Assignors

XU, JUAN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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