Identify the color of a coaster using AI

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

the color of a coaster identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("the-color-of-a-coaster", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/the-color-of-a-coaster/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/the-color-of-a-coaster/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the color of a coaster.

This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Beige, Black, Blue, Brown, Gold, Gray, Green, Marble, Multi-Color and Orange.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a coaster).

Whether you're just curious or building the color of a coaster detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify the color of a coaster at scale?

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



  • Product Quality Control: This use case involves using the False image classification function to automate the quality control process in manufacturing. By identifying the color of coasters produced, manufacturers can quickly spot any that do not meet the specified color requirements, thus minimizing waste and ensuring consistency in their product line.

  • Inventory Management: Retailers can leverage the color classification of coasters to enhance their inventory management system. By accurately identifying the color variants in stock, businesses can streamline their replenishment processes and ensure they meet customer demand for specific colors.

  • Marketing and Promotions: Businesses can utilize color classification in their marketing campaigns to promote specific coaster sets. By analyzing customer preferences based on color identification, companies can create targeted promotions and increase customer engagement with their products.

  • E-commerce Image Tagging: Online retailers can automate the process of tagging coaster images based on color. This use case allows for better organization of product listings, enabling customers to filter and search for coasters by their desired colors, ultimately improving the shopping experience.

  • Targeted Customer Recommendations: Using the False image classification function, businesses can enhance their recommendation engines by incorporating color preferences. By identifying the colors of coasters customers engage with, companies can suggest other items that match or complement those colors, boosting cross-selling opportunities.

  • Personalized Gifts Service: A customized gifts service can employ the color identifier to offer personalized coaster designs based on customers' preferences. This would allow them to create tailored products that resonate with customers, enhancing customer satisfaction and loyalty.

  • Market Trends Analysis: Companies can analyze color identification data to track market trends in coaster colors over time. This information can provide insights into consumer preferences, allowing businesses to adapt their offerings and remain competitive in a dynamic market environment.

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