Identify mosque worshippers count using AI

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

mosque worshippers count identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("mosque-worshippers-count", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/mosque-worshippers-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/mosque-worshippers-count/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict the number of worshippers in a mosque..

This pretrained image model uses a Nyckel-created dataset and has 10 labels, including 1-5, 1001-5000, 101-200, 11-20, 201-500, 21-50, 5000+, 501-1000, 51-100 and 6-10.

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

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

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Need to identify mosque worshippers count at scale?

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



  • Attendance Analytics: This function can be used by mosque administrators to track and analyze the number of worshippers attending services over time. By assessing attendance patterns, they can plan events and allocate resources more effectively.

  • Crowd Management: During special events or holidays, this image classification function can help manage crowd sizes by providing real-time counts of attendees. This information can assist security personnel in maintaining safety protocols and ensuring a smooth flow of worshippers.

  • Resource Allocation: Local Islamic organizations can use attendance data to determine when to allocate additional resources, such as staff or materials for worship services. Understanding peak attendance times can lead to more effective service delivery and satisfaction.

  • Community Engagement: By analyzing the worshipper count, mosques can tailor their outreach programs and community activities to better engage members. Accurate demographic insights can help foster a stronger community and enhance participation in mosque events.

  • Fundraising Efforts: Mosques can leverage attendance data to support fundraising initiatives, providing potential donors with concrete numbers that illustrate the community's reach and impact. This can help to attract more funding and sponsorship for community projects.

  • Health and Safety Compliance: In the wake of health concerns, this function can aid mosque administrators in ensuring compliance with local health regulations by monitoring occupancy limits. Accurate headcounts can promote safer worship environments by avoiding overcrowding.

  • Historical Data Analysis: Over time, the aggregation of worshipper count data can provide insights into trends and shifts in community behavior. This historical analysis can inform strategic planning and development of future mosque programs tailored to evolving community needs.

Want this classifier for your business?

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

Get Access