Pretrained computer vision classifier
Identify the color of a car with one API call.
A pretrained the color of a car classifier that sorts an image into one of 10 categories — the color of a car it is. Use the the color of a car API immediately, no training required, then adapt it to your own data when you need more.
Try the the color of a car classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this the color of a car classifier recognizes
A sample of the 21 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.
Call the the color of a car API
Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'import requests
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer YOUR_ACCESS_TOKEN"},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())const response = await fetch("https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json",
},
body: JSON.stringify({ data: "https://example.com/photo.jpg" }),
});
console.log(await response.json());$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"data": "https://example.com/photo.jpg"}');
$headers = array();
$headers[] = 'Authorization: Bearer YOUR_ACCESS_TOKEN';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
$result = curl_exec($ch);
curl_close($ch);
echo $result;Example response
{
"labelName": "Beige",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 10 the color of a car 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.
Where teams use the color of a car classification
Vehicle Sales Analytics
Car dealerships can utilize the color of a car identifier to analyze sales trends based on color preferences. By knowing which colors are most popular during specific seasons or times, they can optimize their inventory and marketing strategies accordingly.
Insurance Risk Assessment
Insurance companies can leverage this feature to assess risk based on the color of a car. Certain colors may be statistically linked to accident rates, allowing insurers to adjust premiums based on these risk assessments.
Car Manufacturing Marketing
Automakers can use the identifier to understand consumer preferences for car colors. This data can shape their production strategies and marketing campaigns, catering to the most desired color options by region and demographic.
Fleet Management Optimization
Corporations managing vehicle fleets can analyze the color distribution within their fleets. This identification can help improve branding consistency and assist in strategic planning for replacement vehicles that match their branding colors.
Automotive Theft Prevention
Law enforcement agencies can employ the color identifier to rapidly identify stolen vehicles. By cross-referencing reported stolen cars with known vehicle colors, they can increase the chances of recovery and provide real-time alerts to patrol units.
Consumer Behavior Research
Market researchers can utilize this function to study the correlation between car colors and consumer demographics. Insights gained can inform marketing strategies and product developments tailored to specific customer segments.
Traffic Accident Analysis
Transportation safety agencies can analyze traffic accidents based on car colors to identify potential risk factors. Understanding color distributions among accident-involved vehicles can help in developing targeted safety campaigns and enhancing road safety measures.
Common questions
What's the difference between a zero-shot and a Nyckel-trained classifier?
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.
How do I know whether this will work for my application?
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.
What happens when it makes a mistake?
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.
Do I need training data to get started?
No. This the color of a car 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.
What does it cost to try?
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.
Related classifiers
Ready to classify the color of a car at scale?
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.