A pretrained vehicle rust level classifier that sorts an image into one of 10 categories — the level of rust on vehicles.. Use the vehicle rust level API immediately, no training required, then adapt it to your own data when you need more.
Drop in a photo and get the prediction back. No signup, no setup.
A sample of the 10 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Once you've added this classifier to your console, you get your own copy of it behind your own endpoint. Invoke it with any HTTP client:
curl
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer $NYCKEL_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'Python
import requests
# Get an access token: https://www.nyckel.com/docs/api/overview/authentication/
token = "YOUR_ACCESS_TOKEN"
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer " + token},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())Example response
{
"labelName": "Corroded",
"labelId": "label_...",
"confidence": 0.92
}Trained on a Nyckel-curated dataset covering 10 vehicle rust level categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
Companies with large vehicle fleets can use the vehicle rust level identifier to monitor the condition of their vehicles. By assessing rust levels, fleet managers can prioritize maintenance schedules and allocate resources more efficiently, ultimately extending the lifespan of the vehicles.
Insurance companies can leverage the rust level identification function to accurately assess the condition of vehicles during claims processing. This technology can facilitate faster claims evaluations and help insurers determine appropriate premiums based on vehicle condition.
Used car dealerships can implement this function to provide potential buyers with a transparent, detailed assessment of the vehicle's rust condition. This feature can help build customer trust and confidence, leading to more successful sales and potentially higher prices for well-maintained vehicles.
Vehicle manufacturers and marketing agencies can use rust level data to tailor their campaigns. By highlighting the corrosion resistance and longevity of their vehicles, they can attract potential buyers who prioritize durability and lower maintenance costs.
Organizations in industries with strict regulations regarding vehicle safety can revolutionize compliance checks by using rust classification. The technology helps ensure that vehicles meet safety standards by providing clear data on rust levels, minimizing liability risks for businesses.
Car appraisal services can utilize rust level assessments to enhance their valuation processes. By factoring in the vehicle's rust condition, appraisers can provide more accurate estimates for potential sellers and buyers, impacting resale prices positively.
Government agencies and environmental organizations can employ rust level identification to monitor vehicle conditions, particularly in regions with harsh climates. Understanding rust prevalence in vehicles can inform policies aimed at reducing environmental impacts, such as promoting maintenance or incentivizing newer, less polluting vehicles.
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
No. This vehicle rust level classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.