Pretrained computer vision classifier
Identify aerial views of golf courses with one API call.
A pretrained aerial views of golf courses classifier that sorts an image into one of 2 categories. Use the aerial views of golf courses API immediately, no training required, then adapt it to your own data when you need more.
Try the aerial views of golf courses classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this aerial views of golf courses classifier recognizes
A sample of the 2 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 aerial views of golf courses 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": "Beautiful Golf Course",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 2 aerial views of golf courses 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 aerial views of golf courses classification
Golf Course Maintenance Optimization
By utilizing aerial views to identify different areas of a golf course, maintenance teams can determine which sections require more attention, such as greens that need aeration or fairways that need reseeding. This targeted approach reduces costs and enhances course quality over time.
Environmental Impact Assessment
Organizations can employ aerial classification to analyze the ecological health of golf courses, monitoring water usage and the impact of chemicals. This data helps golf course managers ensure compliance with environmental regulations and promote sustainable practices.
Course Design and Renovation Planning
Aerial view identification can assist architects and planners in redesigning or renovating golf courses by identifying current land features, hazards, and vegetative patterns. This insight allows for informed decisions that enhance both the aesthetics and gameplay experience.
Marketing and Promotional Material
Golf courses can leverage aerial imagery to create engaging promotional materials and advertisements that showcase the layout and beauty of their greens. These visuals attract potential customers and members by highlighting unique course features.
Event Planning and Logistics
For golf tournaments or events, organizers can utilize aerial views to better plan logistics such as seating arrangements and traffic flow. This helps optimize the user experience for both participants and spectators during large-scale events.
Detailed Risk Assessment
Insurance providers can use aerial classification to assess potential risks associated with a golf course, such as areas prone to flooding or erosion. This leads to more accurate underwriting and risk mitigation strategies, ultimately benefiting both insurers and insured.
Player Experience Enhancement
By analyzing aerial views, golf course managers can identify optimal layouts for tee boxes and pin placements to enhance playability. This data-driven approach allows for innovations in course setup that can positively influence player satisfaction and repeat business.
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 aerial views of golf courses 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 aerial views of golf courses 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.