Vehicle Make and Model Recognition: Classify Vehicles from Photos with AI
Upload a vehicle photo: the AI ranks the body type (sedan, hatchback, SUV …), make, model and colour with their probabilities and marks the vehicle on the photo. It focuses on the models most common in Turkey and says “another model” for the rest.
Vehicle photo
Example photos
Example photos: ae_works, CC BY 2.0 and 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.
- Commercial livery
- Taxi, police, delivery or company livery.
- Electric vehicle
- Signs such as an EV badge, a closed grille or a charging port.
- Modified
- Aftermarket changes such as a body kit, wheels or window tint.
- Visible damage
- Visible body damage.
- Plate visible
- A licence plate is visible and readable.
- Several vehicles
- Several vehicles are clearly visible.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Listing verification
Check that the photos on a used-car listing match the make and model it states.
- 02
Insurance and rental
Verify that the car in damage or hand-over photos is the one on the policy or contract.
- 03
Car park and service insights
Build the body type and make mix at car parks, car washes or service entrances and understand your customers.
- 04
Brand tracking
Count your models and competitors' models in car photos shared on social media.
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].
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.
Other tools
All tools- Product Damage DetectorNewBroken, crushed or wet products and parcels from a photo
- Logo DetectionNewFind your brand's logo in a photo
- Shelf AuditNewOut-of-stock gaps and tidiness from a shelf photo
- Food Presentation CheckNewForeign objects, raw/burnt food, plating, portions
- Vehicle Damage DetectionNewDents, scratches, broken glass and lights
- Venue Cleanliness CheckNewDirty floors, overflowing bins, clutter
- Fire and Smoke DetectionNewFire, flames and smoke in a photo
- Return vs Listing MatchNewIs the returned item the one in the listing?
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.
Request a demo