Identify if image has moire pattern using AI

Below is a free classifier to identify if image has moire pattern. Just upload your image, and our AI will predict if it has a moire pattern - in just seconds.

if image has moire pattern identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-image-has-moire-pattern-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-image-has-moire-pattern-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/if-image-has-moire-pattern-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it has a moire pattern.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Moire Present and No Moire.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it has a moire pattern).

Whether you're just curious or building if image has moire pattern detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if image has moire pattern at scale?

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



  • Quality Control in Printing: This function can be employed in the printing industry to identify moire patterns that may indicate an error in the printing process. By automatically detecting these patterns, businesses can ensure high-quality prints by flagging or rejecting faulty output before distribution.

  • Textile Design Evaluation: Fashion and textile designers can utilize this function to assess fabric patterns during production. Identifying moire patterns early allows designers to modify their designs or select different materials to avoid undesirable visual effects in the final product.

  • Digital Asset Management: In photography and graphic design, this capability helps professionals manage and curate digital images by flagging those with moire patterns. This ensures that the final assets used in projects are visually appealing and free from distracting artifacts.

  • Medical Imaging Analysis: In medical imaging, such as MRI and ultrasound scans, the presence of moire patterns can obscure critical diagnostic information. Automated identification of these patterns can help radiologists focus on clearer images, improving diagnostic accuracy and patient outcomes.

  • E-commerce Product Listings: E-commerce platforms can use this function to ensure that product images displayed to customers are free of moire patterns. This enhances the visual appeal of products online, potentially increasing customer trust and conversion rates.

  • Art Restoration and Analysis: Museums and galleries can apply this function in the restoration and evaluation of artworks to identify moire patterns that may arise in the digitization process. Detecting such patterns can aid conservators in making informed decisions about preservation techniques and digital reproductions.

  • Security and Surveillance Systems: Surveillance systems that monitor video feeds can integrate this identifier to alert operators when moire patterns are detected. By doing so, they can address issues with video clarity and ensure reliable monitoring in critical environments, such as airports and public spaces.

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