Identify soccer clubs by logo using AI

Below is a free classifier to identify soccer clubs by logo. Just upload your image, and our AI will predict what soccer club it is based on its logo - in just seconds.

soccer clubs by logo identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("soccer-clubs-by-logo", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/soccer-clubs-by-logo/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/soccer-clubs-by-logo/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what soccer club it is based on its logo.

This pretrained image model uses a Nyckel-created dataset and has 47 labels, including Ac Milan, Ajax, Arsenal, Athletic Bilbao, Atlético Madrid, Barcelona, Bayern Munich, Benfica, Boca Juniors and Borussia Dortmund.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what soccer club it is based on its logo).

Whether you're just curious or building soccer clubs by logo detection into your application, we hope our classifier proves helpful.

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Need to identify soccer clubs by logo at scale?

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



  • Fan Engagement Applications: Soccer clubs can utilize the logo classification function to create interactive fan engagement applications. By allowing fans to upload images of logos, the app can identify the club and provide personalized content, such as news, merchandise, and event notifications specific to that soccer team.

  • Marketing Analytics: Businesses that operate in sports merchandise can leverage the logo identification feature to analyze consumer interests and preferences. By tracking which club logos are most frequently submitted or searched for, they can tailor marketing campaigns and stock decisions to match fan demographics and trends.

  • Social Media Monitoring: Organizations can employ the logo classification system for social media sentiment analysis. By automatically identifying logos in user-generated content, they can gauge fan sentiments toward specific clubs, allowing for better-targeted campaigns and responses to fan feedback.

  • E-commerce Integration: E-commerce platforms that deal with soccer merchandise can implement this function to enhance user experience. By integrating logo detection into their search features, users can upload a logo image to find related products, such as jerseys, memorabilia, or accessories from their favorite clubs.

  • Fraud Prevention: Soccer clubs can use the logo identifier to protect their brand by identifying counterfeit merchandise. By implementing the classification function in their online stores, they can verify whether products being sold display legitimate logos, thus reducing the presence of fake merchandise.

  • Augmented Reality Experiences: Companies can create augmented reality applications that allow users to scan logos at live matches or events. When the app recognizes a club’s logo, it can activate immersive content, such as player stats, real-time game updates, or interactive fan polls.

  • Data Collection for Sponsorships: Marketing agencies can leverage this function to gather data on club logo visibility during events. By classifying logos seen in broadcasts or advertisements, they can provide valuable insights to sponsors about branding opportunities, visibility metrics, and audience engagement for soccer-related campaigns.

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