Identify the color of a tile using AI

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

the color of a tile identifier

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Beige, Black, Blue, Brown, Cyan, Gold, Gray, Green, Lavender and Maroon.

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

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

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Need to identify the color of a tile at scale?

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



  • Tile Quality Inspection: This application can automate the quality control process in tile manufacturing by identifying color discrepancies in tiles. By ensuring only tiles that meet color specifications are approved, manufacturers can enhance product consistency and reduce waste.

  • Interior Design Assistance: Interior designers can utilize this image classification function to quickly assess tile colors in various environments. This tool can help in selecting complementary tiles for flooring or backsplashes by providing accurate color classifications, aiding in more effective design choices.

  • Retail Inventory Management: Retailers can implement this function in inventory management systems to categorize tiles based on color. This helps streamline the stocking process and enhance customer experience, making it easier to find specific tile colors in the store.

  • E-commerce Product Listing: Online retailers can use the function to automatically classify and tag tile images by color. This results in improved searchability for customers, allowing them to filter tiles based on color preferences and boosting sales through better product organization.

  • Color Trend Analysis: Manufacturers and marketers can analyze color trends in tiles using this classification tool. By tracking the popularity of different tile colors over time, businesses can make informed decisions on production and marketing strategies based on current consumer preferences.

  • Augmented Reality Applications: Integrating this image classification function into augmented reality apps can allow users to visualize different tile colors in their own spaces. This enhances customer engagement and helps them make informed purchasing decisions while providing a more immersive shopping experience.

  • Automated Cataloging Systems: This function can be used in automated systems for cataloging tiles in showrooms or warehouses. By efficiently classifying tiles by color, businesses can maintain organized inventories and simplify the retrieval process for both employees and customers.

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