Invention Grant
- Patent Title: System and method for training a damage identification model
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Application No.: US16554223Application Date: 2019-08-28
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Publication No.: US11080839B2Publication Date: 2021-08-03
- Inventor: Juan Xu
- Applicant: Alibaba Group Holding Limited
- Applicant Address: KY Grand Cayman
- Assignee: Alibaba Group Holding Limited
- Current Assignee: Alibaba Group Holding Limited
- Current Assignee Address: KY Grand Cayman
- Agency: Park, Vaughan, Fleming & Dowler LLP.
- Agent Shun Yao
- Priority: CN201811012749.2 20180831
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06F16/58 ; G06N20/00 ; G06N5/04 ; G06K9/62

Abstract:
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.
Public/Granted literature
- US20200090320A1 SYSTEM AND METHOD FOR TRAINING A DAMAGE IDENTIFICATION MODEL Public/Granted day:2020-03-19
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