Identify the color of a tank top using AI

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

the color of a tank top identifier

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict what color the tank top is.

This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Beige, Black, Blue, Brown, Checked, Cyan, Gray, Green, Lavender and Magenta.

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

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

Recommended Classifiers

Need to identify the color of a tank top at scale?

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



  • E-commerce Color Filtering: Online retailers can integrate the image classification function to allow customers to filter tank tops by color. This enhances the shopping experience by providing more accurate visual representations and helps customers quickly find their desired product without browsing through irrelevant options.

  • Inventory Management: Retailers can use the image classification function to automate inventory management processes. By identifying the colors of tank tops in stock, they can streamline reordering processes, ensure popular colors are sufficiently stocked, and reduce overstock of less popular shades.

  • Personalized Marketing: Businesses can leverage the color classification feature to personalize marketing campaigns. By analyzing customer purchase history and identifying preferred tank top colors, marketers can send targeted promotions and recommendations that resonate more with individual customers.

  • Visual Search Optimization: Integrating the image classification function into visual search tools allows customers to upload images of tank tops they like and automatically receive similar color options. This enhances user engagement and can significantly improve conversion rates by making product discovery easier.

  • Social Media Analytics: Fashion brands can use the image classification function to analyze the color trends of tank tops posted on social media. This data can inform their design decisions, marketing strategies, and inventory selections by highlighting which colors are trending among target demographics.

  • Sustainability Reporting: Clothing manufacturers can utilize the function to assess the distribution of colors in their tank top collections, correlating this data with sustainability efforts. By understanding the colors of their products, they can work towards more sustainable practices by optimizing fabric use and reducing waste based on color choices.

  • Virtual Stylist Applications: Fashion apps can incorporate the color identification functionality to create virtual styling tools. Users can upload a photo and receive styling advice based on the colors of tank tops that would best fit their wardrobe or complement their skin tone, enhancing user personalization and satisfaction.

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