Identify power cord colors using AI

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

power cord colors identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Beige, Black, Blue, Brown, Cyan, Gold, Gray, Green, Magenta and Orange.

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

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

Recommended Classifiers

Need to identify power cord colors at scale?

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



  • Quality Control in Manufacturing: Implement an automated system that uses the power cord colors identifier to ensure that production lines are correctly assembling power cords of the specified colors. This can help reduce waste, minimize recalls, and maintain consistency in product offerings.

  • E-commerce Product Verification: Utilize the image classification function in e-commerce platforms to verify that the power cords listed for sale match their color descriptions. This ensures customer satisfaction by preventing misrepresentation and reducing return rates due to incorrect orders.

  • Inventory Management: Integrate the identifier into inventory systems to accurately categorize and track power cords based on their colors. This can streamline stock management, making it easier to analyze available colors and predict trends in consumer demand.

  • Visual Customer Support: Enhance online customer support by allowing users to upload images of power cords. The identifier can help quickly classify and provide support for specific items, reducing wait time and improving overall service quality.

  • Market Analysis and Trend Forecasting: Use the identifier in analyzing the market by categorizing sold power cords by color. Businesses can use this data to forecast demands, identify popular colors, and adjust their production strategies accordingly.

  • Accessory Compatibility Checks: Employ the classification function in compatibility tools that recommend accessories based on power cord colors. This can ensure customers are matched with compatible products, enhancing user experience and conveniences.

  • Sustainability Reporting: Implement the identifier in sustainability efforts to track and categorize power cords by their colors for recycling purposes. Accurate classification helps companies monitor the environmental impact of their products and improve their sustainability reporting practices.

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