Identify pokemon card generation
using AI
Below is a free classifier to identify pokemon card generation. Just upload your image, and our AI will predict what Pokémon card generation it belongs to - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("pokemon-card-generation", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/pokemon-card-generation/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/pokemon-card-generation/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what Pokémon card generation it belongs to.
This pretrained image model uses a Nyckel-created dataset and has 28 labels, including Aquapolis, Base Set, Black And White, Crimson Invasion, Diamond And Pearl, Dragon, Expedition, Fire Red Leaf Green, Fossil and Gym Challenge.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what Pokémon card generation it belongs to).
Whether you're just curious or building pokemon card generation detection into your application, we hope our classifier proves helpful.
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Need to identify pokemon card generation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- 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.