Sold by: Persistent SystemsÂ
Overview
Significant time is spent by auto insurance adjusters to appraise vehicle loss and estimate the final settlement amount. Large volume of minor loss claims consume significant bandwidth of adjusters. A machine learning model can reduce this amount by inspecting and identifying type of damage after car accident.
Highlights
- Multi-class classifier trained car damage images and classifies them as normal images, broken headlight, broken windshield, full front damage.
- Such model can be further extended to estimate claim amount based on the damage (with added efforts).
Details
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Delivery method
Latest version
Deployed on AWS
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
First version released to AWS ML Marketplace
Additional details
Inputs
- Summary
Download the Jupyter notebook in "Additional Resources" section and follow readme.txt provided.
- Input MIME type
- image/jpeg
See Input Summary
See Input Summary
Resources
Vendor resources
Support
AWS infrastructure support
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