Identify the color of a wallet using AI

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

the color of a wallet identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Beige, Black, Blue, Brown, Gold, Gray, Green, Lavender, Light Blue and Maroon.

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

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

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Need to identify the color of a wallet at scale?

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



  • Retail Inventory Management: Retailers can utilize the 'color of a wallet' identifier to automate inventory management by accurately categorizing wallets based on their colors. This will enable better tracking of stock levels and assist in restocking decisions based on customer preferences.

  • Personalized Marketing Campaigns: Businesses can leverage this identifier to tailor marketing campaigns according to wallet colors that have a higher demand. By analyzing color trends, companies can design targeted advertisements that resonate more with their customers' preferences.

  • E-commerce Product Filtering: E-commerce platforms can implement the color identifier to enhance user experience by allowing shoppers to filter wallet selections based on their preferred colors. This will simplify the shopping process and increase customer satisfaction by helping them find products that meet their criteria more efficiently.

  • Fashion Trend Analysis: Fashion designers and analysts can use the wallet color identifier to track trending colors within wallet designs over time, aiding in the forecasting of future fashion trends. This could help brands stay ahead of the competition by aligning their product offerings with what is currently popular in the market.

  • Quality Control in Manufacturing: Manufacturers can integrate the color identification function during the production process to ensure color consistency in wallet batches. This quality control measure would help maintain brand reputation and reduce customer complaints related to color discrepancies in products.

  • Custom Product Recommendations: Businesses can enhance the shopping experience by suggesting wallet colors that complement customers’ previously identified preferences or purchases. Utilizing color data can facilitate the creation of personalized product recommendations, increasing the likelihood of additional sales.

  • Cross-Product Style Coordination: The identifier can be used to help customers coordinate wallets with other accessories, such as handbags or shoes, by analyzing color compatibility. This service can be offered as part of an online stylist tool, where users get suggestions for matching products, improving overall sales and customer engagement.

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