louisyuzhe/car-damage-detector

Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.

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Emerging

This project helps insurance companies and lenders quickly assess damage on vehicles from uploaded images. You input a picture of a car, and it highlights the damaged areas, providing a visual assessment of the damage. This is ideal for claims adjusters, loan officers, and anyone needing a rapid, objective visual inspection of car damage.

No commits in the last 6 months.

Use this if you need to automatically identify and outline damaged areas on cars from photos for faster processing of insurance claims or used car loan assessments.

Not ideal if you need to quantify the severity of damage or predict repair costs, as this tool primarily focuses on visual damage detection and segmentation.

insurance-claims vehicle-inspection automotive-lending damage-assessment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

87

Forks

48

Language

Jupyter Notebook

License

Last pushed

Jan 12, 2021

Commits (30d)

0

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