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Vehicle Damage Detection: Assess Car Damage from a Photo with AI

Upload a vehicle photo: the AI judges whether the vehicle is damaged, the damage types and severity, and marks the most damaged area. Ideal for pre-assessment in rental, insurance and service workflows.

Photo of the vehicle

Example photos

Example photo: Charlie from United Kingdom, CC BY 2.0 (Wikimedia Commons)

Result

The result will appear here.

Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.

Labels

The model scores the probability of each damage type below for every photo. You can extend the damage types for your processes or use it with labels made for you.

Dent
A dent or deformation in a body panel.
Scratch
Scratches or scraped paint.
Broken glass
A cracked or broken windscreen, window or mirror.
Broken light
A broken headlight, tail light or indicator.
Bumper damage
A cracked, hanging or pushed-in bumper.
Tyre / wheel
A flat tyre or a damaged wheel or rim.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Rental check-out and return

    Compare check-out and return photos to spot new damage quickly and reduce disputes.

  • 02

    Insurance pre-assessment

    Rank claim photos by severity and send adjusters to the right cases.

  • 03

    Service intake

    Record a vehicle's existing damage when it arrives for service.

  • 04

    Fleet management

    Track damage trends from periodic photos of fleet vehicles.

Use this model in your own system

Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].

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Frequently asked questions

Is this tool free?
Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
Which languages does it support?
It understands multilingual text, Turkish and English first; results are shown in your interface language.
Is my text stored?
No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
Can I analyse in bulk?
The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.

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Want to analyse thousands of reviews automatically?

BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.

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