Identify card game type
using AI
Below is a free classifier to identify card game type. Just upload your image, and our AI will predict what type of card game it is - 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("card-game-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/card-game-type/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/card-game-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of card game it is.
This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Blackjack, Bridge, Canasta, Cribbage, Durak, Eights, Euchre, Five Crowns, Gin Rummy and Go Fish.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of card game it is).
Whether you're just curious or building card game type detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify card game type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Game Analytics: This function can be employed to analyze card game data by categorizing the types of card games played in a specific environment. This data would help game developers understand trends and player preferences, leading to improved game design and marketing strategies.
- Personalized Gaming Experience: By identifying the type of card game a user is playing, platforms can personalize the gaming experience. Recommendations for similar games, tailored tutorials, or in-game enhancements can be delivered based on player preferences, increasing engagement and retention.
- Fraud Detection: The function can be utilized to identify fraudulent activities in online card games by distinguishing between genuine gameplay and automated bots or unfair practices. This helps maintain fair play and enhances player trust in the platform.
- Community Building: By classifying card games, developers can curate community events tailored to specific types of games or game types. This allows for targeted engagement, promoting interaction among users with similar interests and boosting community growth.
- Marketing Strategies: Businesses can use this function to segment their user base based on card game types, enabling targeted marketing campaigns. By understanding which games perform better in different demographics, they're able to create focused advertising efforts that resonate with potential players.
- Educational Tools: This identifier can be integrated into educational platforms to differentiate between various card games for learning purposes. Understanding the type of game helps to create customized lessons and activities that facilitate better engagement through familiar contexts.
- In-Game Monetization: By recognizing the card game type, developers can optimize in-game monetization strategies and offer item packs or upgrades aligned with players' interests. Tailored offers can lead to higher sales conversion rates and increased revenue from relevant purchases.