Identify wine colors using AI

Below is a free classifier to identify wine colors. Just upload your image, and our AI will predict if it's red or white - in just seconds.

wine colors identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if it's red or white.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Red and White.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's red or white).

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

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Need to identify wine colors at scale?

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



  • Wine Retail Analytics: Retailers can utilize the wine colors identifier to categorize and analyze inventory more effectively. By leveraging this technology, they can assess sales trends based on wine color, optimizing stock levels and marketing strategies to target consumer preferences.

  • E-commerce Wine Recommendation: Online wine sellers can incorporate this classification function into their websites to enhance customer experience. By identifying wine colors, the system can recommend pairings, similar wines, or promotional offers based on the customer’s preferences for red, white, or rosé wines.

  • Quality Control for Wineries: Wineries can implement the wine colors identifier in their production lines to ensure consistent quality in wine coloration. This can help identify batches that don't meet their color standards early in the process, enabling adjustments to be made before bottling.

  • Wine Education and Tasting Events: Educational platforms can employ this technology to assist learners in distinguishing between the various color profiles of wines. This could enhance tastings and workshops by providing visual insights, helping participants to understand the characteristics and attributes associated with different wine colors.

  • Flavor Profile Analysis: Wine connoisseurs and sommeliers can use this classification function to analyze how wine color correlates with flavor profiles. By breaking down the relationship between visual appearance and taste, they can provide deeper insights and improve wine pairing recommendations.

  • Social Media Wine Marketing: Brands can leverage the wine colors identifier in social media campaigns to engage users visually. By showcasing vibrant images of wine colors alongside personalized content, brands can capture attention, promote user interaction, and drive sales.

  • Fraud Detection in Wine Sales: The function can assist in verifying the authenticity of wine bottles by correlating color classification with known characteristics of reputable wines. This can be particularly useful for auction houses and collectors, helping to prevent counterfeit sales through visual validation.

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