Pretrained computer vision classifier
Identify stadiums by logo with one API call.
A pretrained stadiums by logo classifier that sorts an image into one of 10 categories — which stadium corresponds to the given logo.. Use the stadiums by logo API immediately, no training required, then adapt it to your own data when you need more.
Try the stadiums by logo classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this stadiums by logo classifier recognizes
A sample of the 20 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Call the stadiums by logo API
Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'
import requests
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer YOUR_ACCESS_TOKEN"},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())
const response = await fetch("https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json",
},
body: JSON.stringify({ data: "https://example.com/photo.jpg" }),
});
console.log(await response.json());
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"data": "https://example.com/photo.jpg"}');
$headers = array();
$headers[] = 'Authorization: Bearer YOUR_ACCESS_TOKEN';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
$result = curl_exec($ch);
curl_close($ch);
echo $result;
Example response
{
"labelName": "Allianz Arena",
"labelId": "label_...",
"confidence": 0.92
}
Under the hood
Trained on a Nyckel-curated dataset covering 10 stadiums by logo categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
Where teams use stadiums by logo classification
Event Promotion
Stadium operators can use the logo identification function to automatically tag promotional materials with venue information. This makes it easier for fans to recognize the location of events when browsing online or in-app advertisements.
Sponsorship Management
Sports teams and organizations can leverage the function to track compliance with sponsorship agreements by ensuring logos are displayed accurately in media. This enhances reporting to sponsors and assures them their brand visibility is being honored.
Security and Fraud Prevention
Security teams can utilize the logo identifier to detect fake merchandise or unauthorized products using stadium logos. This can help in preventing counterfeiting and protecting brand integrity.
Social Media Monitoring
Marketers can employ the function to monitor social media platforms for images of stadium logos. This allows them to engage with fans and communities showcasing their venues, increasing brand reach and loyalty.
Fan Engagement Analytics
By identifying logos in user-uploaded images, teams can collect data on fan interactions with stadiums. This information can help tailor marketing strategies and enhance the overall fan experience.
Mobile App Integration
Stadiums can integrate the logo identifier into their mobile applications, allowing fans to scan images for information, event schedules, or special promotions. This functionality increases user engagement and enriches the mobile experience.
Media Rights Monitoring
Sports governing bodies can use the logo identification feature to monitor broadcast and online media for logo presence. This can be crucial for enforcing media rights agreements and ensuring proper representation of venues during broadcasts.
Common questions
What's the difference between a zero-shot and a Nyckel-trained classifier?
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
How do I know whether this will work for my application?
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
What happens when it makes a mistake?
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
Do I need training data to get started?
No. This stadiums by logo classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
What does it cost to try?
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Related classifiers
Ready to classify stadiums by logo at scale?
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.