A pretrained star wars figure classifier that sorts an image into one of 10 categories — what type of Star Wars figure it is. Use the star wars figure 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 38 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": "Ahsoka Tano",
"labelId": "label_...",
"confidence": 0.92
}Trained on a Nyckel-curated dataset covering 10 star wars figure 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.
This function can be used in online marketplaces to verify listings of Star Wars figures by identifying any falsified or misrepresented items. This ensures that collectors receive the authentic products they expect and helps maintain trust in the marketplace.
Retailers can utilize this identification function to streamline inventory management processes. By verifying whether items in stock are genuine Star Wars figures, retailers can reduce losses associated with counterfeit products and optimize their supply chain.
Manufacturers of Star Wars figures can implement this classification function to perform automated quality control checks. Identifying false figures during the production process helps ensure that only authentic and high-quality products reach the market.
E-commerce platforms can use this function to automate the detection of fraudulent Star Wars figure listings, enhancing their safety measures. By filtering out non-genuine products, these platforms can protect their reputation and ensure customer satisfaction.
Authentication services can adopt this function to validate the originality of Star Wars figures for collectors. Providing a reliable identification of authentic items adds value to the certification process, enabling collectors to make informed purchasing decisions.
Online fan communities and forums can incorporate this function to moderate content related to Star Wars figures. By identifying false representations of figures shared in discussions or sales posts, communities can foster a more accurate and trustworthy environment.
This function can be used as part of an educational tool for new collectors entering the Star Wars figure market. By helping them identify genuine figures versus falsified ones, newcomers can learn essential tips for building an authentic collection while avoiding scams.
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 star wars figure 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.