Identify the color of a pair of leggings using AI

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

the color of a pair of leggings identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Beige, Black, Blue, Brown, Charcoal, Coral, Cyan, Fuchsia, Gold and Gray.

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

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

Recommended Classifiers

Need to identify the color of a pair of leggings at scale?

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



  • Color Recommendation Engine: This system can provide personalized recommendations for leggings based on user preferences. By analyzing the identified color of leggings, the engine can suggest complementary outfits and accessories to enhance the customer’s shopping experience.

  • Inventory Management: Retailers can use the false image classification function to track inventory levels of leggings by color. Automating the identification of color can streamline restocking processes and optimize inventory decisions based on trending colors.

  • Trend Analysis Tool: Fashion companies can analyze the popularity of various legging colors over time. By identifying color patterns, they can adjust their product lines and marketing strategies to align with current consumer preferences.

  • Visual Merchandising: Stores can utilize the color classification to create visually appealing displays. By categorizing leggings by color, retailers can enhance the in-store experience and drive sales through effective visual arrangements.

  • E-commerce Filtering System: Online platforms can implement this function to enable users to filter leggings by color quickly. By ensuring accurate color classification in product images, customers can find their desired items faster, improving the overall shopping experience.

  • Data-Driven Marketing Campaigns: Marketers can leverage the color identifier to tailor campaigns based on the most popular legging colors. This targeted approach can increase engagement and conversion rates by aligning promotional efforts with consumer preferences.

  • Returns Management: The color identification function can assist with returns processing by confirming the received color of returned leggings against the original order. This can help reduce errors and streamline the return process, ultimately enhancing customer satisfaction.

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