Identify locker room cleanliness using AI

Below is a free classifier to identify locker room cleanliness. Just upload your image, and our AI will predict the cleanliness level of locker rooms - in just seconds.

locker room cleanliness identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("locker-room-cleanliness", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/locker-room-cleanliness/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/locker-room-cleanliness/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the cleanliness level of locker rooms.

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Average Cleanliness, Clean, Cluttered, Dirty, Disorganized, Dry, Good Ventilation, Odor Present, Odor-Free and Organized.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the cleanliness level of locker rooms).

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

Recommended Classifiers

Need to identify locker room cleanliness at scale?

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



  • Locker Room Maintenance Alerts: The 'locker room cleanliness' identifier can be employed to automate alerts for maintenance staff when cleanliness thresholds are not met. This allows for timely interventions to maintain hygiene standards and ensure a positive experience for patrons.

  • User Experience Improvement: By analyzing cleanliness data, gym operators can identify patterns in locker room usage and cleanliness. This information can guide improvements in facilities and services, ultimately enhancing the overall user experience.

  • Health Compliance Monitoring: Regularly monitoring locker room cleanliness with this function ensures compliance with health and safety regulations. Operators can maintain records that demonstrate adherence to cleanliness standards during inspections.

  • Janitorial Resource Allocation: The function can assist in optimizing janitorial schedules and resources by pinpointing times when locker rooms require more frequent cleaning. This operational efficiency can lead to cost savings and improved cleanliness.

  • Customer Feedback Integration: Integrating the cleanliness identifier with customer feedback systems can provide comprehensive insights into user sentiment regarding locker room conditions. This allows management to address concerns and enhance customer satisfaction effectively.

  • Marketing and Promotion Strategies: Cleanliness metrics derived from the identifier can be leveraged in marketing materials to showcase the commitment to hygiene. This can attract new customers who prioritize cleanliness in fitness facilities and services.

  • Reporting and Analytics Dashboard: The data from the cleanliness identifier can feed into an analytics dashboard for management to visualize trends over time. This helps in identifying peak usage times, evaluating the impact of cleaning protocols, and implementing data-driven changes to improve services.

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