Identify dominant colors using AI

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

dominant colors identifier

Try to limit background colors and focus on the item you want analyzed.

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Get started

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

    fetch('https://www.nyckel.com/v1/functions/colors-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/colors-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what color it is.

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Red, Pink, Orange, Black, Purple, Blue, Green, White, Yellow, Beige, Brown, Silver, Grey, Gold, and No Dominant..

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

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

Recommended Classifiers

Need to identify dominant colors at scale?

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



  • Fashion Retail: Sort inventory by color themes for display arrangements or marketing materials.

  • E-commerce: Improve search and filter functions by allowing users to search for clothing by color.

  • Quality Control: Automate checking for color consistency in clothing batches during manufacturing.

  • Social Media Marketing: Analyze and match clothing colors with social media trends for targeted advertising.

  • Interior Design: Recommend complementary clothing items for visual merchandising based on color harmony.

  • Clothing Rental Services: Streamline sorting and categorizing returns by color for faster inventory management.

  • Custom Tailoring Services: Facilitate the selection of fabrics and accessories that match or contrast with main clothing pieces.

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