Identify clothing brands using AI

Below is a free classifier to identify clothing brands. Just upload your image, and our AI will predict what clothing brand it belongs to - in just seconds.

clothing brands identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("clothing-brands", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/clothing-brands/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/clothing-brands/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what clothing brand it belongs to.

This pretrained image model uses a Nyckel-created dataset and has 48 labels, including Adidas, Alo Yoga, American Eagle, Asos, Bershka, Boohoo, Burberry, Calvin Klein, Carhartt and Chanel.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what clothing brand it belongs to).

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

Recommended Classifiers

Need to identify clothing brands at scale?

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



  • Brand Verification: This function can be utilized by e-commerce platforms to verify the authenticity of clothing brands listed by sellers. By analyzing images uploaded by users, the system can flag counterfeit listings and protect consumers from fraud.

  • Inventory Management: Retailers can implement this function to automatically sort and classify clothing items based on brand. This would streamline inventory management processes, making it easier to track stock levels and identify popular brands.

  • Marketing Campaigns: Marketing teams can leverage brand identification to tailor promotional strategies based on trending clothing brands. By analyzing social media images, they can identify which brands resonate most with their audience and optimize their campaigns accordingly.

  • Competitive Analysis: Fashion brands can use the identifier to monitor the presence and representation of their competitors in online marketplaces and social media. This insight can inform their market strategies and identify gaps in brand visibility.

  • Customer Personalization: Online retailers can improve user experience by using the classification function to recommend clothing items based on customers’ preferred brands. This personalization can increase customer satisfaction and boost sales conversions.

  • Brand Partnership Identification: Apparel manufacturers can identify potential partnership opportunities by analyzing the clothing brands favored by influencers and fashion bloggers. This can guide their marketing collaborations and enhance brand visibility.

  • Trend Analysis: Fashion analysts can harness this function to track the popularity and emergence of different clothing brands over time. This data can provide valuable insights into market trends and help brands adapt to consumer preferences.

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