Pretrained computer vision classifier

Identify knife type with one API call.

A pretrained knife type classifier that sorts an image into one of 10 categories — what type of knife it is. Use the knife type API immediately, no training required, then adapt it to your own data when you need more.

Use this classifier Try with your image

Pretrained · Nyckel-trained 10 labels out of the box Image input

nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke

Box Cutter 0.92

Bread Knife 0.05

Try the knife type classifier

Drop in a photo and get the prediction back. No signup, no setup.

What this knife type classifier recognizes

A sample of the 20 labels this pretrained classifier chooses between.

Box Cutter

Bread Knife

Butcher Knife

Carving Knife

Chef Knife

Cleaver

Electric Knife

Fillet Knife

Folding Knife

Hunting Knife

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 knife type API

Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:

API quick start

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;

Create free account to get your live API key Clone this function to get a live API key

How to invoke a function →

Example response

{
  "labelName": "Box Cutter",
  "labelId": "label_...",
  "confidence": 0.92
}

API documentation Authentication Pricing Get your endpoint

Under the hood

Model type

Nyckel-trained

Trained on a Nyckel-curated dataset covering 10 knife type categories, served on Nyckel's own infrastructure — your image stays on Nyckel.

Input

Image

Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.

Make it yours

Adaptable

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.

More than a demo: this page is one of thousands of pretrained functions on Nyckel, an ML classification platform. You can invoke classifiers by API, review predictions, correct labels, collect samples from production traffic, and promote any pretrained function to a private custom model — without changing your integration.

Where teams use knife type classification

Retail Inventory Management

Retailers can use the knife type identifier to classify and manage their inventory of knives more effectively. By automating the identification process, they can streamline stock organization, ensuring the right types of knives are available for customers and reducing human error.

E-commerce Product Categorization

E-commerce platforms can implement the knife type identifier to automatically classify knives uploaded by sellers. This can enhance the shopping experience by enabling better categorization, helping customers find the knives they need more easily while improving product visibility based on search queries.

Safety Compliance in Culinary Schools

Culinary institutions can use the knife type identifier as part of their safety compliance training programs. By accurately identifying knife types, instructors can better educate students on the specific uses and handling precautions for various knives, reducing the risk of accidents.

Kitchen Appliance Recommendations

Smart kitchen appliances can integrate the knife type identifier to provide tailored recommendations for food preparation tasks. Knowing the type of knife being used allows the device to suggest optimal cooking techniques and timing, enhancing meal preparation efficiency and precision.

Security Surveillance Systems

Security systems can leverage the knife type identifier in public spaces or retail environments to detect prohibited knife types. This real-time analysis can alert security personnel to potential threats, improving public safety and allowing for timely intervention.

Insurance Claims Processing

Insurance companies can utilize the knife type identifier in processing claims related to knife injuries or damage. By accurately identifying the type of knife involved, insurers can evaluate claims more efficiently and determine coverage eligibility based on specific circumstances.

Food Photography and Marketing

Food marketing agencies can use the knife type identifier to optimize food photography sessions. By selecting the appropriate knives based on the dish, agencies can ensure the images resonate with culinary themes and aesthetics, leading to more compelling marketing materials and enhanced consumer appeal.

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 knife 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 knife 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.

Use this classifier Read the docs