Identify shades of yellow using AI

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

shades of yellow identifier

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Get started

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

    fetch('https://www.nyckel.com/v1/functions/shades-of-yellow-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/shades-of-yellow-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the different shades-of-yellow present in the image.

This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Canary Yellow and Lemon Yellow.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the different shades-of-yellow present in the image).

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

Recommended Classifiers

Need to identify shades of yellow at scale?

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



  • Quality Control in Paint Manufacturing: An image classification function with a 'shades-of-yellow' identifier can be used to accurately assess the color consistency of yellow paints, ensuring it matches up to one of the 25 shades determined in the label rules.

  • Yellow Diamond Grading: In the diamond industry, the specific shade of yellow can greatly affect a diamond's value. The use of image classification can standardize the grading process, providing a more accurate, unbiased result.

  • Textile Industry Color Verification: The textile industry can utilize this tool for verifying color consistency among textiles dyed in varying shades-of-yellow, helping to maintain color uniformity in production.

  • Food Industry Color Quality Control: In industries such as candy manufacturing or fruit sorting, the precise shade of yellow can signify freshness or the correct sugar content, so an image classification function can be used to maintain quality standards.

  • Graphic Design Assistance: Graphic designers can use this function to precisely identify the specific shade of yellow in their designs, ensuring color consistency throughout their work and accurate reproduction in print materials.

  • Advertising & Marketing: In advertising or marketing where specific branding colors are important to brand identity, this tool can be used to maintain the exact shade of yellow across various media and platforms.

  • Interior Design Planning: Interior designers can use the tool to provide customers with a vast selection of yellow shades for their design, ensuring the color matches the rest of the room's design and meets the client's expectations.

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