Identify game duration category using AI

Below is a free classifier to identify game duration category. Just upload your image, and our AI will predict the duration category of a given game - in just seconds.

game duration category identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("game-duration-category", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/game-duration-category/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/game-duration-category/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the duration category of a given game.

This pretrained image model uses a Nyckel-created dataset and has 3 labels, including Long, Medium and Short.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the duration category of a given game).

Whether you're just curious or building game duration category detection into your application, we hope our classifier proves helpful.

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Need to identify game duration category at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • User Engagement Analytics: This function can analyze player behavior by categorizing game durations, helping game developers understand user engagement patterns. By identifying short, medium, and long-duration gameplay sessions, developers can tailor content updates and marketing strategies to enhance user retention.

  • Personalized Recommendations: By classifying game duration, this function can be integrated into recommendation engines to suggest games based on players' available time. For example, players with shorter sessions may be more inclined toward quick-play games, while those with longer durations may appreciate more complex titles.

  • Dynamic Difficulty Adjustment: Game developers can use this function to dynamically adjust game difficulty based on the amount of time players typically spend in a session. Recognizing short game durations may lead to a more instant gratification approach, while longer durations could allow for deeper challenges, enhancing the gaming experience.

  • Targeted Marketing Campaigns: Businesses can harness this function to design marketing campaigns targeted at specific player populations based on their gameplay duration. Promotions for time-limited events or special discounts can be timed based on the duration categories to maximize conversion rates.

  • Churn Prediction: By analyzing game duration patterns, this function can help identify players at risk of churning. Players who start experiencing shorter sessions may indicate declining interest, allowing businesses to implement retention strategies before they abandon the game.

  • Game Balance and Content Development: Developers can utilize this function to assess how game duration correlates with content consumption and progression. Understanding the categorization of playtime can guide the creation of additional content or balancing changes to meet the needs of different player types.

  • Community Event Planning: This function can be leveraged to optimize timing and content for community events based on user gameplay duration statistics. By analyzing when players are most active, developers can schedule in-game events that maximize participation and enhance community engagement.

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