Identify nfl teams by logo using AI

Below is a free classifier to identify nfl teams by logo. Just upload your image, and our AI will predict which NFL team corresponds to the logo. - in just seconds.

API Access


import nyckel

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


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

How this classifier works

To start, upload your image. Our AI tool will then predict which NFL team corresponds to the logo..

This pretrained image model uses a Nyckel-created dataset and has 29 labels, including 49Ers, Bears, Bengals, Bills, Broncos, Buccaneers, Cardinals, Chargers, Colts and Cowboys.

We'll also show a confidence score (the higher the number, the more confident the AI model is around which NFL team corresponds to the logo.).

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

Need to identify nfl teams by logo at scale?

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

Fan Engagement: This function can be utilized by sports apps to enhance fan interaction by allowing users to easily identify their favorite NFL teams based on logos. By integrating this feature, fans can play logo trivia or quizzes that reinforce their knowledge of the teams.

Merchandise Personalization: E-commerce platforms can implement this image classification tool to offer personalized product recommendations based on logo recognition. When a user uploads a photo of their favorite team’s logo, the platform can suggest related merchandise, increasing sales and customer satisfaction.

Inventory Management: Retailers can use the function in managing their NFL merchandise inventory by automatically identifying which team logos are in stock based on images of items. This allows for more accurate inventory tracking and helps reduce overstock or stockout situations for specific teams.

Marketing Analytics: Marketing teams can leverage this classification function to analyze social media images and posts including NFL logos. By aggregating this data, they can measure brand engagement, fan sentiment, and the effectiveness of marketing campaigns surrounding specific teams.

Event Management: Organizers of NFL-related events can use this technology to streamline ticketing processes. By providing an option for attendees to upload team logos for their tickets, it helps ensure accurate identification and enhances the overall event experience for fans.

Game Day Enhancements: Stadiums and arenas can implement this function to enrich the game day experience with interactive displays and contests that allow fans to engage based on logo identification. This can create a fun and engaging atmosphere during games, fostering community among fans.

Social Media Monitoring: Brands can utilize this function for monitoring and analyzing visuals of NFL logos across social media platforms. By identifying which teams are gaining popularity through visual content, companies can create targeted marketing strategies and better engage with their audience.