Identify football gear by logo using AI

Below is a free classifier to identify football gear by logo. Just upload your image, and our AI will predict what type of football gear it is based on the logo - in just seconds.

football gear by logo identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("football-gear-by-logo", "your_image_url", credentials)
            

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

How this classifier works

To start, upload your image. Our AI tool will then predict what type of football gear it is based on the logo.

This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Adidas, Bauer, Cleats, Diadora, Easton, Equipment, Evoshield, Gloves, Headgear and Jersey.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of football gear it is based on the logo).

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

Need to identify football gear by logo at scale?

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



  • Brand Authenticity Verification: This function can be utilized by e-commerce platforms to ensure that the football gear being sold is authentic by verifying logos against official brand logos. This reduces the chances of counterfeit products reaching consumers and enhances buyer confidence.

  • Custom Merchandise Analysis: Sports teams can use this identifier to analyze custom merchandise trends by examining which logos are most popular among fans. By understanding consumer preferences based on logo recognition, teams can optimize their merchandise offerings and marketing strategies.

  • Sponsorship Monitoring: Brands can employ this function to track the visibility and presence of their logos on football gear across different platforms and events. This allows them to measure the effectiveness of sponsorship deals and their return on investment.

  • Inventory Management: Retailers can integrate this function into their inventory systems to automate the categorization of football gear based on logo recognition. This can help streamline inventory management processes and ensure accurate stock levels.

  • Social Media Content Moderation: Social media platforms can leverage this identifier to automatically flag or categorize posts featuring specific football gear logos. This can aid in better content curation and targeted advertising campaigns for related products.

  • Market Research and Analytics: Market research firms can use this function to analyze consumer sentiment around different football gear brands based on logos present in social media posts, reviews, or videos. This kind of analysis can provide insights into brand strength and consumer loyalty.

  • Augmented Reality Shopping: Retailers can implement this identifier in augmented reality shopping applications to provide users with instant information about the football gear they see. When a user points their device at an item, the app can recognize the logo and display related details or purchase options, enhancing the shopping experience.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access