Identify pro ultimate teams using AI

Below is a free classifier to identify pro ultimate teams. Just upload your image, and our AI will predict what player position is most likely to excel in various team formations - in just seconds.

pro ultimate teams identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("pro-ultimate-teams", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/pro-ultimate-teams/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/pro-ultimate-teams/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what player position is most likely to excel in various team formations.

This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Avalanche, Challengers, Champions, Conquerors, Dynasty, Elite, Empire, Flyers, Force and Glory.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what player position is most likely to excel in various team formations).

Whether you're just curious or building pro ultimate teams detection into your application, we hope our classifier proves helpful.

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Need to identify pro ultimate teams at scale?

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



  • Fraud Detection in Advertising: This function can be employed by digital marketing agencies to identify fraudulent images that misrepresent products or services. By flagging false images in marketing materials, agencies can protect their brands and enhance confidence among consumers.

  • Content Moderation in Social Media Platforms: Social media companies can utilize this identifier to filter out misleading images before they appear on users' feeds. This would help reduce the spread of misinformation and enhance user trust in the platform.

  • Quality Control for E-commerce Listings: Online retailers can implement this technology to ensure that product images accurately depict the items for sale. By identifying false images, they can improve customer satisfaction and reduce returns caused by misleading visuals.

  • Healthcare Image Analysis: Hospitals and medical facilities can use this function to verify the authenticity of medical images shared in telemedicine consultations. Ensuring that images are not altered or misrepresented can enhance patient safety and trust in medical recommendations.

  • Security in Online Dating Services: Dating applications can employ this identifier to detect fake profiles that use false images. By filtering out these deceptive images, the platform can create a safer and more genuine environment for its users.

  • Intellectual Property Protection: Companies can use this function to identify counterfeit products that use false images in their advertising. This helps protect brand integrity by allowing legal teams to take action against misleading or fraudulent competition.

  • Academic Research Validation: Researchers in fields such as psychology or media studies can implement this identifier to ensure the accuracy of images used in experimental or survey studies. By verifying that images are genuine, they can enhance the validity of their findings and conclusions.

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