Pretrained computer vision classifier
Identify print pattern type with one API call.
A pretrained print pattern type classifier that sorts an image into one of 10 categories — what type of print pattern it is. Use the print pattern type API immediately, no training required, then adapt it to your own data when you need more.
Try the print pattern type classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this print pattern type classifier recognizes
A sample of the 20 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 print pattern type 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": "Paisley",
"labelId": "label_...",
"confidence": 0.92
}
Under the hood
Trained on a Nyckel-curated dataset covering 10 print pattern type 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 print pattern type classification
Quality Control in Manufacturing
Automate the inspection of printed materials by identifying the type of print pattern used. This ensures that products meet quality standards and that any deviations from expected patterns can be flagged for immediate review.
Counterfeit Detection
Utilize the identifier to assess the authenticity of printed products, such as labels and packaging. By analyzing the print patterns, the system can distinguish between genuine and counterfeit items, helping businesses protect their brand integrity.
Print Media Analysis
Implement the function to categorize and analyze printed media in marketing campaigns. This can provide insights into which print patterns resonate most with target audiences, allowing for more effective future campaigns and designs.
Retail Inventory Management
Assist in identifying and categorizing products based on their packaging print patterns. This can streamline inventory management by ensuring that items are correctly labeled and categorized, which enhances stock tracking and reduces errors.
Art Authentication
Use the function to verify print patterns on artworks or reproductions to assess their authenticity. This could support galleries and auction houses in ensuring the value and provenance of artworks, protecting buyers and sellers alike.
Custom Print Design Recommendation
Leverage the print pattern identifier in design software to recommend relevant patterns based on user input or trends. This could help designers create attractive layouts that align with current market preferences without extensive background research.
Automated Document Processing
Enhance document management systems by identifying print patterns in scanned documents, such as contracts or forms. This helps categorize and sort documents more efficiently, improving organization and retrieval processes within businesses.
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 print pattern type 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 print pattern type 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.