Identify video game brands using AI

Below is a free classifier to identify video game brands. Just upload your image, and our AI will predict what video game brand it is - in just seconds.

video game brands identifier

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Get started

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

    fetch('https://www.nyckel.com/v1/functions/video-game-brands/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/video-game-brands/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what video game brand it is.

This pretrained image model uses a Nyckel-created dataset and has 47 labels, including Acclaim Entertainment, Activision, Atari, Bandai Namco, Bethesda, Blizzard Entertainment, Bungie, Bungie Studios, Capcom and Cd Projekt.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what video game brand it is).

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

Recommended Classifiers

Need to identify video game brands at scale?

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



  • Brand Promotion Analysis: This use case involves utilizing the false image classification function to analyze promotional materials, such as advertisements and social media posts, to ensure that only genuine content of a specific video game brand is disseminated. By identifying and flagging false images, brands can maintain their reputation and ensure their marketing efforts remain aligned with their identity.

  • Competitive Analysis: Video game companies can use the function to gather insights on competitors by identifying and classifying images of their branding and products. This analysis allows for better strategizing in marketing and product development by understanding the visual strategies employed by competitors.

  • Content Moderation: Gaming platforms can implement this function to moderate user-generated content that features their brands. By automatically detecting and filtering out misleading or false images associated with their games, the platform can protect its community and brand integrity.

  • Customer Support Enhancement: Customer service teams can utilize the image classification function to verify user-submitted images related to game issues or bugs. This verification helps in providing accurate support, ensuring that users receive help based on authentic content from game brands.

  • Brand Loyalty Programs: Game publishers can integrate the function within loyalty programs to authenticate user-submitted images for rewards or contests. By ensuring that users submit legitimate game-related content, companies can enhance engagement and satisfaction within their communities.

  • Augmented Reality Experiences: AR applications within the gaming industry can leverage this function to ensure that the images users interact with are authentically branded. This enhances user experience by providing a seamless and credible connection between digital content and real-world branding.

  • Market Research Insights: The function can be employed in market research to analyze consumer sentiment by accumulating and classifying images shared online related to various game brands. This data can provide valuable insights into trends, preferences, and brand perception in the gaming community.

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