Identify the color of a hoodie using AI

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

the color of a hoodie identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Beige, Black, Blue, Brown, Coral, Cyan, Green, Grey, Lavender and Magenta.

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

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

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Need to identify the color of a hoodie at scale?

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



  • Inventory Management: In retail environments, the hoodie color identifier can streamline inventory management by automating the categorization of stock. This helps retailers quickly assess which colors are available or in demand, facilitating better stock control and targeted ordering.

  • E-commerce Personalization: Online clothing stores can use the color identification function to tailor recommendations for customers based on their preferences. By analyzing browsing history and purchase patterns, the system can suggest hoodies in colors that align with individual customer tastes, enhancing the shopping experience.

  • Brand Consistency: Clothing brands can leverage the color identifier to ensure consistency across their products and marketing materials. By automatically classifying the color of hoodies, brands can maintain a cohesive look and feel in their collections, which is crucial for brand identity.

  • Trend Analysis: Fashion companies can utilize the hoodie color identification tool to analyze market trends and consumer preferences over time. By aggregating data on sold hoodie colors, businesses can identify emerging trends and make informed decisions on future designs and collections.

  • Quality Control: The color identifier can be integrated into quality control processes during manufacturing to ensure that the final products match specified color standards. This reduces the risk of color discrepancies between samples and finished goods, leading to higher customer satisfaction.

  • Marketing Campaigns: Companies can use the color classification function to optimize their marketing campaigns by identifying popular hoodie colors that resonate with target audiences. This information can guide design decisions and help craft promotional messages that highlight trending colors.

  • Customer Feedback Analysis: By analyzing customer feedback and reviews, businesses can assess the popularity of hoodie colors among their clientele. The color identifier can highlight patterns in consumer sentiment, informing future color selections and marketing tactics based on customer desires.

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