API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-the-gym-is-crowded", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-the-gym-is-crowded/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/if-the-gym-is-crowded/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if the gym is crowded.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Crowded and Not Crowded.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the gym is crowded).

Whether you're just curious or building if the gym is crowded detection into your application, we hope our classifier proves helpful.

Need to identify if the gym is crowded at scale?

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

Real-Time Capacity Monitoring: This use case enables gym managers to receive real-time updates on how crowded the gym is at any given moment. By integrating this classification function, gym staff can efficiently allocate resources and personnel during peak hours to enhance member experience.

User Mobile App Notifications: Gyms can utilize this function in their mobile applications to notify users about current crowd levels. Members can receive alerts or recommendations on the best times to visit based on the gym's occupancy, helping them to avoid overcrowding.

Dynamic Pricing Strategy: Implement dynamic pricing for gym memberships or day passes based on crowd levels. When the gym is identified as crowded, prices can be adjusted to manage demand and encourage visits during off-peak hours, optimizing revenue.

Personalized Workout Recommendations: Based on the crowd status, gyms can provide tailored workout recommendations to users. For instance, if the gym is crowded, the system might suggest off-peak workout plans or alternative fitness activities, maintaining user engagement.

Safety and Compliance Monitoring: This use case ensures compliance with local health and safety regulations regarding capacity limits in the gym. The 'if the gym is crowded' identifier can trigger alerts when capacity approaches mandated thresholds, allowing for prompt action to avoid fines or closures.

Member Feedback Improvement: By analyzing data on crowd levels alongside member feedback, gyms can identify patterns and make necessary adjustments to improve member satisfaction. They can better manage hours, equipment availability, and staffing based on peak crowd times and user experiences.

Marketing Campaign Optimization: Fitness businesses can use crowd data to inform their marketing strategies. Promotions or campaigns can be launched during times when the gym is less crowded, encouraging new sign-ups or visits, thus balancing out attendance throughout the week.

Identify if the gym is crowded using AI

API Access

How this classifier works

Need to identify if the gym is crowded at scale?