Identify the color of a door using AI

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

the color of a door identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Beige, Black, Blue, Brown, Crimson, Gray, Green, Lavender, Maroon and Multi-Color.

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

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

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Need to identify the color of a door at scale?

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



  • Smart Home Integration: This use case involves integrating the color of door identification into smart home systems. Homeowners can customize their smart doorbells and security alerts based on the door color, enhancing the personalization of their home security features.

  • E-commerce Personalization: Online retailers can utilize door color identification to suggest complementary home decor items. By analyzing the door color from user-uploaded images, e-commerce platforms can recommend products that match or contrast tastefully with the existing home aesthetic.

  • Real Estate Marketing: Real estate agents can use door color insights in property listings to enhance visual appeal. By showcasing homes with trending or appealing door colors in marketing materials, agents can attract potential buyers and increase engagement.

  • Neighborhood Analysis: City planners and urban designers can use door color classification data to analyze neighborhood aesthetics. Understanding community preferences for door color can guide recommendations for future developments and renovations that align with local tastes.

  • AI-Driven Home Design Apps: Home design applications can incorporate door color classification to aid users in visualizing home improvements. Users can upload photos of their homes and experiment with various door color options in a virtual setting to better comprehend design choices.

  • Insurance Risk Assessment: Insurance companies can analyze the colors of residential doors to assess property risk factors. Certain colors may be associated with specific neighborhood trends or stylistic choices that can inform underwriting practices and risk management strategies.

  • Community Engagement Programs: Local governments can implement community programs that encourage residents to paint their doors in approved colors for unity and aesthetics. Using door color identification, authorities can monitor participation in such programs and evaluate their impact on neighborhood cohesion.

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