Identify the color of a charger using AI

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

the color of a charger identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 12 labels, including Black, Blue, Brown, Gray, Green, Multi-Color, Orange, Pink, Purple and Red.

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

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

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Need to identify the color of a charger at scale?

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



  • E-commerce Product Listing: Online retailers can utilize the color identifier to enhance product listings by automatically categorizing chargers based on their colors. This feature improves the shopping experience by allowing customers to filter products based on specific color preferences.

  • Inventory Management: Warehouses can implement the color identification function to streamline inventory management. By automatically sorting chargers by color, businesses can improve organization and retrieval processes, leading to increased efficiency in order fulfillment.

  • Quality Control in Manufacturing: Manufacturers can use the color identifier during production to ensure that chargers meet color specifications. This capability enhances quality control processes by quickly identifying any mismatched or defective items, leading to fewer product returns.

  • Customer Support Automation: Customer service bots can leverage the identification function to assist users in troubleshooting color-related queries. For example, if a customer reports receiving a different color charger, the system can quickly verify and provide relevant solutions, enhancing customer satisfaction.

  • Personalization in Marketing: Businesses can deploy the color identification feature as part of personalized marketing strategies. By analyzing charger colors commonly purchased by individual customers, companies can tailor promotions and product suggestions that align with their preferences.

  • Environmental Compliance: Companies that focus on sustainability can use the color identifier to classify chargers made from eco-friendly materials by color coding. This aids in reporting and marketing efforts by clearly distinguishing environmentally friendly products for conscious consumers.

  • Data Analytics for Trends: Businesses can analyze the color identification data to identify market trends and consumer preferences over time. This information can inform product design and development strategies, allowing companies to stay ahead of trends and meet customer demands effectively.

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