Pretrained computer vision classifier

Identify pokemon card generation with one API call.

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

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

Try the pokemon card generation classifier

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

What this pokemon card generation classifier recognizes

A sample of the 28 labels this pretrained classifier chooses between.

Aquapolis
Base Set
Black And White
Crimson Invasion
Diamond And Pearl
Dragon
Expedition
Fire Red Leaf Green
Fossil
Gym Challenge

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 pokemon card generation 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"}'

Example response

{
  "labelName": "Aquapolis",
  "labelId": "label_...",
  "confidence": 0.92
}

Under the hood

Model type
Nyckel-trained

Trained on a Nyckel-curated dataset covering 10 pokemon card generation 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 pokemon card generation classification

Automated Collection Management

This function can help collectors identify and classify different Pokémon cards in their inventory by generating analysis based on image uploads. It streamlines collection management, enabling users to easily keep track of card types, rarity, and condition.

Marketplace Verification

Online marketplaces can implement this function to verify the authenticity of Pokémon cards listed for sale. By comparing uploaded images against established classifications, sellers can gain a credibility boost, while buyers can feel more secure in their purchases.

Fraud Prevention Tools

Retailers and auction houses could use this function to prevent fraud by quickly identifying counterfeit cards. The image classification can help spot discrepancies between claimed and actual card characteristics, safeguarding both businesses and customers from scams.

Dynamic Pricing Models

By integrating this function with pricing algorithms, businesses can create dynamic pricing models based on card classification. The tool can provide insights into market trends, helping sellers adjust prices based on demand and card rarity.

Mobile App Enhancement

Developers of collectible card apps can enhance user experience by incorporating this image classification feature. Users can simply snap a photo of their Pokémon cards, and the app will classify and provide details on the card, making investment decisions easier.

Inventory Tracking Solutions

Businesses focused on the sale of Pokémon cards can utilize this classification function for better inventory tracking and management. By automatically categorizing cards and their quantities, companies can streamline stocktaking processes and reduce manual errors.

Engagement and Community Building

This function can be integrated into gaming platforms to foster community interaction by allowing users to showcase their collections. By generating insights from the classified cards, players can engage in discussions about rarity, strategies, and trades, enhancing the overall experience.

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 pokemon card generation 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 pokemon card generation 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.