Identify gym class participants count using AI

Below is a free classifier to identify gym class participants count. Just upload your image, and our AI will predict the number of participants in gym classes. - in just seconds.

gym class participants count identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("gym-class-participants-count", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/gym-class-participants-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/gym-class-participants-count/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict the number of participants in gym classes..

This pretrained image model uses a Nyckel-created dataset and has 14 labels, including 1-5, 101-150, 11-20, 151-200, 201-300, 21-30, 301-400, 31-40, 401-500 and 41-50.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of participants in gym classes.).

Whether you're just curious or building gym class participants count detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify gym class participants count at scale?

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



  • Attendance Monitoring: This function can automatically count participants in gym classes, enabling instructors and gym management to track attendance accurately. This data can be reported for performance analysis and resource allocation.

  • Capacity Management: By monitoring the number of participants in real-time, gyms can ensure classes do not exceed capacity limits. This helps maintain safety standards and enhances customer experience by preventing overcrowding.

  • Marketing Insights: The data from class participation can help gyms understand which classes are most popular and attract more participants. This insight can guide marketing strategies, class scheduling, and instructor assignments to maximize attendance.

  • Performance Metrics: Gyms can track attendance trends over time, allowing for generation of performance metrics that assess the popularity and effectiveness of various fitness programs. This information can contribute to long-term business strategies and program improvements.

  • Customer Engagement: By analyzing attendance patterns, gyms can identify loyal customers, tailoring engagement strategies such as personalized offers or incentives for consistent attendance. This fosters better customer retention and satisfaction.

  • Resource Allocation: Accurate participant counts assist in optimizing staffing levels and equipment availability. Gym management can use this data to ensure there are enough trainers and equipment during peak times, leading to better operational efficiency.

  • Health and Safety Compliance: Monitoring participant counts can aid in compliance with local health regulations, especially in contexts where social distancing or specific capacity limits are mandated. This not only helps in legal compliance but also promotes a safer workout environment for participants.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access