Identify event attendance using AI

Below is a free classifier to identify event attendance. Just upload your image, and our AI will predict if it is crowded or not - in just seconds.

event attendance identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("event-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/event-identifier/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/event-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it is crowded or not.

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

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it is crowded or not).

Whether you're just curious or building event attendance detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify event attendance at scale?

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



  • Event Management: Estimate crowd sizes at events to ensure adequate staffing and resources.

  • Public Safety: Monitor public spaces for crowd density to manage safety and emergency responses.

  • Retail Industry: Track customer foot traffic in stores for optimizing layout and marketing strategies.

  • Transportation Hubs: Analyze passenger flow in airports or train stations to improve efficiency and service.

  • Urban Planning: Assess public engagement in urban spaces for future city planning and development.

  • Hospitality Industry: Determine peak times in hotels or resorts for better resource allocation and staff scheduling.

  • Sports Venues: Monitor spectator numbers in stadiums or arenas to enhance security and operational planning.

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