Pretrained computer vision classifier
Identify splendor gem type with one API call.
A pretrained splendor gem type classifier that sorts an image into one of 10 categories — what type of gem it is. Use the splendor gem type API immediately, no training required, then adapt it to your own data when you need more.
Try the splendor gem type classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this splendor gem type classifier recognizes
A sample of the 26 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 splendor gem 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": "Alexandrite",
"labelId": "label_...",
"confidence": 0.92
}
Under the hood
Trained on a Nyckel-curated dataset covering 10 splendor gem 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 splendor gem type classification
Luxury Retail Verification
Retailers can utilize the 'splendor gem type' identifier to authenticate the quality and type of gemstones sold in their stores. This ensures that jewelers accurately represent their high-value items, building trust with customers and reducing the risk of fraud.
Online Marketplace Quality Assessment
E-commerce platforms can integrate this function to verify the legitimacy of gemstone listings. By accurately classifying gemstones, they can enhance user experience and minimize returns due to misrepresented products.
Insurance Appraisals
Insurance companies can employ this feature to assess the value and type of gemstones for policy underwriting. This helps in accurate risk assessment and determining appropriate coverage plans for customers holding valuable gem collections.
Gemological Research and Education
Academic institutions can use this classification function in gemology programs to teach students about different gemstone types. This can enhance the learning experience through practical applications in identifying and classifying real samples.
Auction House Consignment Evaluations
Auction houses can leverage this technology to evaluate and classify gemstones during consignment processes. This can streamline the auction preparation, ensuring that items are correctly described and potentially increasing their market value.
Gemstone Resale Platforms
Resale platforms can integrate the identifier to validate the types of gemstones being resold. This not only boosts seller credibility but also instills confidence in buyers, leading to more transactions and higher customer satisfaction.
Blockchain Traceability Systems
Companies involved in ethical sourcing can apply this identifier to verify gemstone types during the blockchain registration process. This ensures transparency and traceability, confirming that gemstones are sourced responsibly and ethically throughout the supply chain.
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 splendor gem 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 splendor gem 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.