Identify golf course players count
using AI
Below is a free classifier to identify golf course players count. Just upload your image, and our AI will predict the number of players on a golf course - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("golf-course-players-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/golf-course-players-count/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/golf-course-players-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of players on a golf course.
This pretrained image model uses a Nyckel-created dataset and has 13 labels, including 1-5, 101-150, 11-20, 151-200, 201-300, 21-30, 301-500, 31-40, 41-50 and 500+.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of players on a golf course).
Whether you're just curious or building golf course players count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify golf course players count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Golf Course Traffic Management: This function can be utilized by golf course managers to monitor and analyze player traffic throughout the day. By identifying the number of players on the course, management can optimize tee times and resource allocation, ultimately enhancing the overall player experience.
- Marketing Campaign Effectiveness: Golf courses and associated businesses can use this technology to assess the impact of marketing initiatives. By monitoring player counts before and after campaigns, they can determine which promotions effectively attract more visitors.
- Dynamic Pricing Strategy: Businesses can implement dynamic pricing models based on real-time player counts. This allows courses to adjust fees in response to demand, optimizing revenue during peak times and increasing accessibility during off-peak periods.
- Event Planning and Management: Organizers can leverage player count data to plan tournaments or special events more effectively. Knowing the typical flow of players helps in scheduling, staffing, and ensuring a smooth operation on event days.
- Membership Retention Analysis: Clubs can analyze player counts over time to gauge member engagement and satisfaction. If counts decline, management can investigate potential reasons and take proactive measures to retain members.
- Environmental Impact Studies: Stakeholders can employ the player count data to conduct assessments on the environmental impact of golfing activities. Understanding foot traffic patterns can aid in planning conservation efforts and designing sustainable golfing practices.
- Investment and Expansion Decisions: Potential investors or golf course developers can use player count indicators to assess the viability of new projects or expansions. By understanding current player densities, they can make informed decisions on investment opportunities in specific markets.