Identify wood grain pattern using AI

Below is a free classifier to identify wood grain pattern. Just upload your image, and our AI will predict the type of wood grain pattern present - in just seconds.

wood grain pattern identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("wood-grain-pattern-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/wood-grain-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/wood-grain-pattern-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the type of wood grain pattern present.

This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Bird'S Eye, Burl, Checkerboard, Cross Cut, Curly, Diffuse Porous, Fiddleback, Flame, Flattened and Frosted.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of wood grain pattern present).

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

Related Classifiers

Need to identify wood grain pattern at scale?

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



  • Quality Control in Furniture Manufacturing: The 'wood grain pattern' identifier can be integrated into furniture manufacturing processes to ensure that only properly patterned wood is used in production. By quickly checking the wood grain patterns against desired specifications, manufacturers can reduce material waste and enhance product quality.

  • Authenticity Verification for Artwork: Art dealers and galleries can utilize the identifier to authenticate wooden art pieces or sculptures by verifying the wood grain patterns against known sources. This helps prevent counterfeit pieces from being sold and assures buyers of the artwork's provenance.

  • Custom Woodworking Design Assistance: Custom cabinet makers and woodcraft artisans can use the identifier as a design tool to find and select unique wood grain patterns for specific projects. This can enhance creativity and help artisans match client preferences more closely with their offerings.

  • Smart Furniture Retail Systems: Furniture retailers can implement the identifier in augmented reality applications, allowing customers to visualize how specific wood grains will look in their homes. This feature can enhance the shopping experience by providing personalized recommendations based on customer tastes.

  • Environmental Impact Assessment: Organizations focused on sustainability can deploy the identifier to assess and minimize the use of endangered wood species by accurately matching grain patterns. This functionality can aid in responsible sourcing and promote ethical practices within the lumber industry.

  • Restoration of Antique Furniture: Restoration specialists can leverage the wood grain pattern identifier to find matching wood types for refurbishing vintage items. Precise matching of wood grains ensures that antique furniture retains its historical integrity while being restored effectively.

  • Wood Flooring Installation Services: Flooring companies can utilize the identifier to ensure that planks in laminate or hardwood floors match properly during installation. By verifying consistent wood grain patterns, they can improve the overall aesthetic quality of installed flooring projects and reduce customer complaints.

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