Identify what material a doily is made from using AI

Below is a free classifier to identify what material a doily is made from. Just upload your image, and our AI will predict what material a doily is made from - in just seconds.

what material a doily is made from identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("what-material-a-doily-is-made-from", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/what-material-a-doily-is-made-from/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/what-material-a-doily-is-made-from/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict what material a doily is made from.

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Acrylic, Bamboo, Canvas, Cotton, Felting, Hemp, Jute, Lace, Linen and Mesh.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what material a doily is made from).

Whether you're just curious or building what material a doily is made from detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify what material a doily is made from at scale?

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



  • Home Decor Retail Analysis: This function can be used by home decor retailers to classify doilies made from various materials such as lace, cotton, or polyester. By analyzing the material composition, retailers can better target inventory and marketing strategies to consumer preferences, leading to increased sales and customer satisfaction.

  • Textile Manufacturing Quality Control: Textile manufacturers can implement this classification function as part of their quality assurance processes. By identifying the materials used in doilies, manufacturers can ensure consistency in production and detect issues early in the manufacturing process.

  • E-commerce Product Categorization: Online marketplaces can leverage this function to automate the categorization of doilies based on their material. This improves the user experience by allowing customers to filter products more effectively, leading to higher conversion rates.

  • Crafting and DIY Supplies: Crafting retailers can use this classification function to identify doily materials, aiding customers in selecting the appropriate supplies for their projects. This provides valuable assistance to DIY enthusiasts and promotes better crafting outcomes.

  • Antique and Vintage Appraisal: Antique dealers and appraisers can utilize this function to determine the material of vintage doilies, which is crucial for accurate valuations. This knowledge helps in restoring, selling, or authenticating these items, impacting the overall value proposition.

  • Sustainability Assessment: Eco-conscious brands can use the material classification function to evaluate the sustainability of different doily materials. By identifying and promoting eco-friendly materials, businesses can enhance their sustainability initiatives and appeal to environmentally aware consumers.

  • Fashion Trend Analysis: Fashion designers and analysts can employ this function to explore material trends in doily designs over time. By understanding the popularity of various materials, they can inform future collections and incorporate traditional designs into contemporary fashion.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access