Pretrained computer vision classifier

Identify dog breeds with one API call.

A pretrained dog breeds classifier that sorts an image into one of 2 categories. Use the dog breeds API immediately, no training required, then adapt it to your own data when you need more.

Pretrained · Nyckel-trained 2 labels out of the box Image input

Try the dog breeds classifier

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

What this dog breeds classifier recognizes

A sample of the 120 labels this pretrained classifier chooses between.

Australian Cattle Dog
Basset Hound

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 dog breeds API

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": "Australian Cattle Dog",
  "labelId": "label_...",
  "confidence": 0.92
}

Under the hood

Model type
Nyckel-trained

Trained on the Stanford Dogs Dataset dataset and served on Nyckel's own classification 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 dog breeds classification

Pet Stores

Pet retailers can offer personalized recommendations to customers using just a picture of the family's dog. Or, they could do real-time tracking of what dogs were brought to the store.

Pet Insurance Providers

Insurance companies can automate the creation of customized policies based on the identified dog breed and associated health risks.

Vet Clinics

Veterinarians can speed up new patient onboarding when the owner is unsure about dog breed.

Dog Shows

Participants and judges in dog shows can benefit from quick breed identification.

Pet-Friendly Businesses

Businesses welcoming dogs, such as hotels and restaurants, can provide breed-specific services for their canine customers.

Animal Shelters and Rescues

Shelters can streamline the adoption process by quickly IDing the breeds of dogs under their care.

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 dog breeds 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.

Ready to classify dog breeds 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.