Identify grade marking legibility using AI

Below is a free classifier to identify grade marking legibility. Just upload your image, and our AI will predict the grade marking legibility of student submissions - in just seconds.

grade marking legibility identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("grade-marking-legibility", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/grade-marking-legibility/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/grade-marking-legibility/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the grade marking legibility of student submissions.

This pretrained image model uses a Nyckel-created dataset and has 12 labels, including Blurred, Clear, Difficult To Read, Faded, Illegible, Legible, Mostly Clear, Mostly Illegible, Neat and Partially Clear.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the grade marking legibility of student submissions).

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

Need to identify grade marking legibility at scale?

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



  • Automated Grading System: This function can be integrated into automated grading systems to evaluate the legibility of students' handwritten answers on exams. By accurately identifying poorly written responses, educators can ensure equitable grading practices and provide necessary feedback to students for improvement.

  • Tutoring Platforms: Online tutoring services can leverage this function to assess student assignments and provide personalized feedback on legibility. This feature can help students improve their writing skills and enable tutors to identify specific areas needing focus.

  • Document Verification Services: Companies providing document verification can utilize this tool to flag illegible handwritten documents in applications or legal submissions. This can reduce the risk of errors or fraud by ensuring that all submitted documents are readable.

  • Accessibility Enhancements: Accessibility-focused organizations can employ this function to monitor and improve the legibility of written materials for individuals with reading difficulties. By identifying challenging handwriting styles, they can offer tailored resources to enhance comprehension.

  • Survey and Data Collection Platforms: Survey tools that rely on handwritten responses can use this identifier to filter out illegible entries before data analysis. This ensures the quality and reliability of collected data, leading to more accurate insights and reporting.

  • Calligraphy and Handwriting Courses: Educational platforms offering calligraphy or handwriting improvement courses can leverage this function to assess the students' progress. It can provide constructive feedback on their writing styles, helping them refine their technique and enhance legibility.

  • Compliance in Financial Institutions: Financial institutions can harness this identifier to scan handwritten forms for legibility during onboarding processes. Ensuring that documents are clearly legible can help reduce compliance issues and ensure that all regulatory requirements are met accurately.

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