Identify length of sewing needle in inches using AI

Below is a free classifier to identify length of sewing needle in inches. Just upload your image, and our AI will predict the length of a sewing needle in inches - in just seconds.

length of sewing needle in inches identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("length-of-sewing-needle-in-inches", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/length-of-sewing-needle-in-inches/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/length-of-sewing-needle-in-inches/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the length of a sewing needle in inches.

This pretrained image model uses a Nyckel-created dataset and has 52 labels, including 1 Inch, 1+ Feet, 10 Inches, 11 Inches, 12 Inches, 13 Inches, 14 Inches, 15 Inches, 16 Inches and 17 Inches.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the length of a sewing needle in inches).

Whether you're just curious or building length of sewing needle in inches detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify length of sewing needle in inches at scale?

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



  • Quality Control in Manufacturing: This use case focuses on the textile and sewing manufacturing industries, where accurate classification of sewing needle lengths is crucial. The false image classification function can help identify issues in production by flagging misclassified needle lengths, ensuring that only correctly sized needles are used in fabric assembly.

  • Retail Inventory Management: Retailers that sell sewing supplies can utilize this function to automate the classification of needle sizes in their inventory. By ensuring accurate length classification, retailers can prevent stock discrepancies and improve customer satisfaction by always providing the correct product sizes.

  • E-commerce Product Verification: E-commerce platforms can integrate this function to validate product images uploaded by sellers. By ensuring that images accurately depict the specified needle length, the platform can reduce returns caused by misrepresented products and enhance buyer trust.

  • Educational Tools for Sewing Classes: Sewing schools and workshops can implement this classification function as part of their teaching tools. By using this technology, instructors can assess students' ability to correctly identify sewing needle lengths based on images, enhancing hands-on learning and reinforcing product knowledge.

  • Third-party App Integration: Developers of sewing-related mobile applications can incorporate the classification function to provide users with an interactive tool for identifying needle lengths. This can serve as a helpful feature for amateur and professional sewers, ensuring they select the appropriate needle for their projects.

  • Automated Sewing Machine Calibration: Sewing machine manufacturers can leverage this function to improve their machines' automatic adjustments based on needle length. By integrating the classification technology, machines can optimize their settings for different needle types, ensuring superior performance and stitching quality.

  • Product Development Research: Companies engaged in developing new sewing tools can use the classification function to analyze various needle designs and their lengths. This data can inform product innovation and help designers create more efficient and user-friendly needle variants based on marketplace needs and trends.

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