Identify holding a book or not using AI

Below is a free classifier to identify holding a book or not. Just upload your image, and our AI will predict if a student is holding a book - in just seconds.

holding a book or not identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("student-holding-a-book-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/student-holding-a-book-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/student-holding-a-book-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if a student is holding a book.

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

We'll also show a confidence score (the higher the number, the more confident the AI model is around if a student is holding a book).

Whether you're just curious or building holding a book or not detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify holding a book or not at scale?

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



  • Library Management System: This function can be integrated into library systems to track student engagement with physical books. By identifying students holding books, libraries can gather insights on popular reading materials and optimize their inventory.

  • Educational Engagement Analysis: Schools can utilize this binary classification to assess student participation in reading activities. By analyzing data on students holding books, educators can measure engagement levels and tailor programs to enhance learning outcomes.

  • Safe Environment Monitoring: In educational environments, this function can contribute to safety monitoring by identifying students holding books in designated areas. This helps ensure that students are adhering to library or study space rules, fostering a conducive learning atmosphere.

  • Personalized Marketing for Schools: Publishers and educational content providers can use this classification to identify students who frequently engage with books. This enables targeted marketing of new releases or educational resources based on students' interests and behaviors.

  • Study Habit Analytics: Educational institutions can analyze the behavior of students holding books to assess study habits. By understanding trends in students' book-holding patterns, schools can develop interventions to support effective study techniques.

  • After-School Program Optimization: After-school programs can leverage this function to monitor which students are actively involved in reading initiatives. This information can help program coordinators refine their offerings and foster a stronger reading culture among students.

  • Recognition and Rewards Programs: Schools can implement recognition systems that reward students for their involvement in reading activities, using this classification to identify those who frequently hold books. This helps motivate students to engage more deeply with academic materials and fosters a love for reading.

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