Identify premium vs standard grade using AI

Below is a free classifier to identify premium vs standard grade. Just upload your image, and our AI will predict if the item is premium or standard grade - in just seconds.

premium vs standard grade identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("premium-vs-standard-grade", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/premium-vs-standard-grade/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/premium-vs-standard-grade/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the item is premium or standard grade.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Premium Grade and Standard Grade.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the item is premium or standard grade).

Whether you're just curious or building premium vs standard grade detection into your application, we hope our classifier proves helpful.

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Need to identify premium vs standard grade at scale?

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



  • Quality Control in Manufacturing: This use case involves implementing the premium vs standard grade identifier in manufacturing processes to ensure that products meet specific quality standards before they leave the factory. By automatically categorizing items, businesses can reduce waste, minimize returns, and enhance customer satisfaction.

  • E-commerce Product Classification: In the e-commerce sector, the function can be used to automatically classify products into premium and standard categories based on images. This helps customers make informed purchasing decisions and allows businesses to streamline their marketing strategies by effectively targeting different consumer segments.

  • Real Estate Property Valuation: Real estate agencies can utilize the image classification feature to categorize properties into premium and standard grades based on visual characteristics. This helps in providing accurate property valuations, attracting the right buyers, and enabling targeted marketing efforts for luxury listings.

  • Personalized Marketing Campaigns: Companies can leverage the premium vs standard grade identifier to develop personalized marketing campaigns. By analyzing consumer preferences for premium or standard products, businesses can tailor their ads and promotions, enhancing customer engagement and conversion rates.

  • Inventory Management: Retailers can implement this function to improve inventory management by automatically classifying goods into premium and standard categories. This classification can facilitate better stock organization, optimize pricing strategies, and enhance the shopping experience by highlighting premium offerings.

  • Fraud Detection in Fine Goods: In luxury goods markets, businesses can employ the identifier to combat fraud by verifying the grade of items based on images. This application not only helps prevent counterfeit products from reaching consumers but also safeguards brand integrity and customer trust.

  • Sustainable Sourcing Impact Assessment: Sustainability-focused companies can use the image classification function to assess the grade of sourced materials, distinguishing between premium and standard options. This information can inform sourcing decisions and help companies promote sustainable practices while optimizing cost efficiency.

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