Identify card grading condition using AI

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

card grading condition identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("card-grading-condition", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/card-grading-condition/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/card-grading-condition/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the grading condition of your card.

This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Corner Wear, Damage, Discolored, Edge Wear, Excellent, Faded, Fair, Gem Mint, Good and Mint.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the grading condition of your card).

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

Recommended Classifiers

Need to identify card grading condition at scale?

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



  • Online Trading Platforms: This function can be integrated into online trading platforms for trading sports or trading cards, allowing users to upload images of their cards and receive an instant grading condition assessment. This feature enhances user confidence in buying and selling by ensuring that both buyers and sellers have a clear understanding of the card's condition.

  • E-commerce Marketplaces: E-commerce sites can leverage this technology to automate the grading process for sellers listing collectible cards. By providing automatic grading results, it helps standardize descriptions, improving trust between buyers and sellers and reducing dispute rates.

  • Collectibles Insurance Assessment: Insurance companies can utilize the function to assess the condition of collectible cards for underwriting purposes. This ensures accurate premium calculations and provides customers with peace of mind regarding the true value of their insured collectibles.

  • Grading Services Automation: Professional grading companies can incorporate this function into their operations to streamline the initial assessment of card conditions. Automating the preliminary grading process can save time and resources, allowing for faster turnarounds for customers.

  • Authentication Services: This function can be used by authentication services to quickly verify the condition of cards submitted for grading or verification. This can help prevent fraud by ensuring that the card matches its claimed condition in online listings or during trading events.

  • Augmented Reality Experiences: Businesses creating augmented reality experiences for card collectors can enhance their apps with this grading function, allowing users to view instant evaluations as they scan cards in real-time. This interactivity can increase engagement and add value to the user experience in collector communities.

  • Card Collecting Communities: Online communities and forums dedicated to card collecting can adopt this technology to enable users to quickly assess the grading condition of their collections. This promotes healthy discussions around card values and trends while helping collectors make informed trading decisions.

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