Identify CFL teams
using AI
Below is a free classifier to identify CFL teams. Just upload your image, and our AI will predict which CFL team a player belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("cfl-teams", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/cfl-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/cfl-teams/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which CFL team a player belongs to.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Alouettes, Argonauts, Argos, Blue Bombers, Bombers, Cards, Cats, Elks, Eskimos and Habs.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which CFL team a player belongs to).
Whether you're just curious or building CFL teams detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify CFL teams at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Sports Merchandise Authenticity: This function can be used by retailers to verify the authenticity of sports merchandise related to CFL teams. By classifying the images of products, retailers can ensure that only legitimate merchandise is sold, reducing counterfeit items and protecting brand integrity.
- Fan Engagement Campaigns: Marketing teams can utilize the function to categorize user-generated content from fans showcasing their support for CFL teams. By accurately identifying the teams, the data can inform targeted marketing strategies, promotions, and social media campaigns that resonate with specific fan bases.
- Social Media Monitoring: This functionality can be implemented in social media analytics tools to gauge fan sentiment and team popularity. By identifying images related to different CFL teams across platforms, sports agencies can track engagement levels and fan interactions, informing future communication strategies.
- Customized Fan Experiences: Event organizers can use the function to create personalized experiences at games or events. By recognizing the teams represented in fan images, they can offer targeted promotions, merchandise, or experiences based on the specific teams fans are supporting.
- Insurance Fraud Prevention: Insurance companies can employ the image classification function to inspect claims involving sports memorabilia or collectibles. By validating the authenticity of claimed items (like jerseys or autographs), insurers can mitigate fraudulent claims and keep costs in check.
- Sponsorship Analytics: Brands sponsoring CFL teams can leverage this function to analyze images associated with their sponsorships. By identifying which teams are most frequently depicted in images, brands can adjust their marketing spend and strategies to maximize the impact of their sponsorship activities.
- Ticket Scalping Detection: Ticketing platforms can integrate this function to monitor resale listings and images of tickets. By identifying images related to specific CFL teams, they can flag potential scalping activities and ensure compliance with regulations, thereby protecting fans from unfair pricing.