Identify whiteboard cleanliness using AI

Below is a free classifier to identify whiteboard cleanliness. Just upload your image, and our AI will predict if the whiteboard is clean or dirty - in just seconds.

whiteboard cleanliness identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if the whiteboard is clean or dirty.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Clean and Dirty.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the whiteboard is clean or dirty).

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

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Need to identify whiteboard cleanliness at scale?

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



  • Classroom Management: Educators can integrate the whiteboard cleanliness identifier into classroom settings to ensure that whiteboards are always clean and ready for use. The system can trigger reminders for maintenance staff to clean boards that are identified as dirty before the next class period, enhancing the learning environment.

  • Remote Learning Enhancement: In remote teaching scenarios, educators can use the identifier to ensure that digital whiteboard sharing looks professional and clear for students. This function can alert teachers to clean their boards before recording or sharing lessons, thereby improving the presentation quality of educational content.

  • Office Space Optimization: Companies using whiteboards for brainstorming and project management can utilize the identifier to track cleanliness. By monitoring cleanliness levels, facility managers can schedule cleaning more efficiently, ensuring productive and tidy work environments for employees.

  • Event Planning: Event organizers can employ the whiteboard cleanliness identifier to maintain the professionalism of conference rooms and venues during corporate events. Automated cleanliness checks can help ensure that whiteboards remain presentable for participants, leaving a good impression on attendees.

  • Cleaning Service Monitoring: Businesses offering cleaning services can use the identifier to assess the performance of their cleaning staff post-cleaning. This can help in providing feedback to workers, ensuring that whiteboards meet cleanliness standards and improving overall service quality.

  • School Asset Management: Educational institutions can leverage the identifier for inventory management of classroom assets. By regularly monitoring the cleanliness of whiteboards, they can make informed decisions on when to replace or repair classroom equipment, ensuring optimal operational efficiency.

  • Health and Safety Compliance: Organizations can implement the whiteboard cleanliness identifier as part of their health and safety protocols to maintain hygiene standards. By identifying and addressing dirty whiteboards, companies can mitigate potential health risks associated with unclean working environments, contributing to a healthier workplace.

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