Identify student attires using AI

Below is a free classifier to identify student attires. Just upload your image, and our AI will predict what type of student attire it is - in just seconds.

student attires identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("student-attires-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/student-attires-identifier/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/student-attires-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what type of student attire it is.

This pretrained image model uses a Nyckel-created dataset and has 74 labels, including Casual Wear and Formal Wear.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of student attire it is).

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

Recommended Classifiers

Need to identify student attires at scale?

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



  • Uniform Compliance Check: This function can automate the verification of student uniform compliance by identifying designated attires in school environments. Schools can use this feature to ensure students adhere to dress codes, helping maintain discipline and a sense of identity.

  • Smart Shopping Assistant: Retailers can integrate the multilabel classification function into online shopping platforms to recommend appropriate student attires based on specific criteria. This feature can enhance the shopping experience by suggesting suitable clothing options for classes, sports, and events.

  • Fashion Trend Analysis: Fashion brands can utilize this technology to analyze trending student attire styles across various demographics. By aggregating data on popular clothing items, brands can tailor their collections to meet the evolving preferences of young consumers.

  • Event Planning Tool: Schools and event organizers can employ this function to categorize and recommend student attire based on specific events like proms, graduations, or sports days. By generating ideas based on image classifications, planners can ensure students achieve a cohesive and appropriate theme.

  • Personalized Marketing Campaigns: Marketers can leverage this classification system to segment their audience by the types of student attires they wear. This targeted approach allows for more personalized advertising and promotions, leading to higher engagement rates.

  • Inclusion and Diversity Monitoring: Educational institutions can use the multilabel classifier to monitor the diversity of student attire and promote an inclusive environment. By recognizing and celebrating various cultural attires, schools can enhance community cohesion and acceptance.

  • E-learning and Virtual Dress Code: Online learning platforms can implement the function to recommend appropriate attire for virtual classrooms. This ensures students present themselves in a respectful manner, fostering a more professional online learning environment.

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