Identify vehicle condition
using AI
Below is a free classifier to identify vehicle condition. Just upload your image, and our AI will predict the condition of the vehicle - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("vehicle-condition", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/vehicle-condition/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/vehicle-condition/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the condition of the vehicle.
This pretrained image model uses a Nyckel-created dataset and has 18 labels, including Classic, Daily Driver, Damaged, For Parts, High Mileage, Junk, Like New, Low Mileage, Moving Condition and Needs Repairs.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of the vehicle).
Whether you're just curious or building vehicle condition detection into your application, we hope our classifier proves helpful.
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Need to identify vehicle condition at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Insurance Claim Assessment: This function can assist insurance companies in quickly assessing the condition of a vehicle during a claim process. By identifying potential damages or false representations in submitted images, insurers can streamline investigations and improve the accuracy of claim settlements.
- Fleet Management Optimization: Fleet operators can utilize this function to monitor the condition of their vehicles regularly. By identifying issues early, they can schedule maintenance efficiently, reducing downtime and avoiding costly repairs.
- Pre-Owned Vehicle Sales Verification: Used car dealerships can implement this function to verify the condition of vehicles before listing them for sale. By ensuring that images accurately reflect the vehicle's condition, dealerships can enhance transparency and build trust with potential buyers.
- Automotive Online Marketplaces: E-commerce platforms that specialize in vehicle sales can leverage this function to improve the quality of listings. By automatically flagging listings with misleading images, the platform can maintain credibility and enhance the shopping experience for customers.
- Loan Approval Processes: Financial institutions providing auto loans can use this function to assess the condition of a vehicle being financed. By verifying the vehicle's condition against represented images, these institutions can mitigate risk and prevent potential loan defaults stemming from vehicle misrepresentation.
- Vehicle Auction Platforms: Online vehicle auction sites can implement this function to monitor the accuracy of submissions from sellers. By ensuring that the images accurately depict the vehicle's condition, auction platforms can reduce disputes and enhance buyer confidence.
- Condition Reporting for Rentals: Car rental agencies can utilize this function during vehicle returns to confirm that images submitted by customers accurately reflect the vehicle's condition. This would help in resolving disputes over damages and ensuring fair charges for renters.