Identify if a gym class is happening using AI

Below is a free classifier to identify if a gym class is happening. Just upload your image, and our AI will predict if a gym class is happening - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-gym-class-is-happening", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-a-gym-class-is-happening/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-a-gym-class-is-happening/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if a gym class is happening.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Class Is Happening and No Class Currently.

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

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

Need to identify if a gym class is happening at scale?

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

Class Attendance Monitoring: This use case involves using the image classification function to identify active gym classes in real-time. By analyzing live feeds, gym owners can track attendance and manage capacity effectively, ensuring a better experience for participants.

Personal Trainer Scheduling: Trainers can utilize the identifier to determine when classes are in session, allowing them to schedule one-on-one sessions or additional classes without conflicts. This increases operational efficiency and helps trainers maximize their availability.

Marketing and Promotion: Gyms can use the classification function to gather data on which classes are most popular and when they occur. This information can drive targeted marketing campaigns, helping to attract new members and retain current ones based on class preferences.

Dynamic Resource Allocation: With real-time identification of classes happening, gyms can optimize resource allocation, such as equipment, staff, and space management. This ensures that resources are not over-allocated and that members have access to necessary amenities during their workouts.

Safety and Compliance Monitoring: This use case allows gyms to ensure compliance with safety regulations by monitoring the number of participants in classes. By identifying class occupancy, gyms can prevent overcrowding and maintain a safe environment for all members.

Member Engagement Insights: By analyzing images of gym classes, fitness centers can gain insights into member engagement and class popularity over time. This data helps in designing future offerings tailored to member interests and enhancing overall satisfaction.

Virtual Class Integration: The identifier can also assist in distinguishing between in-person and virtual classes taking place. This enables gyms to better manage hybrid offerings, ensuring that both physical and digital participants receive a quality experience.