Identify if image shows artifacts using AI

Below is a free classifier to identify if image shows artifacts. Just upload your image, and our AI will predict if the image shows artifacts - in just seconds.

if image shows artifacts identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-image-shows-artifacts", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-image-shows-artifacts/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/if-image-shows-artifacts/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the image shows artifacts.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Artifacts Present and Clean.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image shows artifacts).

Whether you're just curious or building if image shows artifacts detection into your application, we hope our classifier proves helpful.

Need to identify if image shows artifacts at scale?

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



  • Artifact Detection in Museums: This function can be utilized by museums to automatically identify and classify artifacts in images. By analyzing images of potential artifacts, museums can streamline their inventory processes, ensuring that each item is documented and categorized correctly.

  • E-commerce Quality Control: E-commerce platforms can implement this image classification function to assess product images for authenticity or quality issues. By flagging images that show artifacts, companies can maintain high standards for product presentation and reduce the risk of customer dissatisfaction.

  • Historical Document Preservation: Libraries and archives can leverage this function to identify and catalog historical documents that may have artifacts. This classification aids in the preservation of cultural heritage by directing resources towards the restoration of damaged or deteriorating items.

  • Art Restoration Projects: Art conservation specialists can use this classification system to assess artworks for signs of degradation or damage. By automatically identifying artifacts in images, professionals can prioritize restoration efforts and allocate funding more effectively.

  • Visual Inspection in Manufacturing: Manufacturing companies can integrate this function into their quality control processes to detect artifacts in product images. By automating the identification of defects or anomalies, businesses can enhance production efficiency and reduce the rate of returns.

  • Auction House Authentication: Auction houses can employ this function to verify the authenticity of items by examining images of artifacts. Accurate classification helps in preventing the sale of counterfeit or misidentified items, ultimately building trust with buyers.

  • Digital Asset Management: Organizations managing vast media libraries can utilize this function for image sorting and cataloging. By identifying images that display artifacts, they can streamline their database, making it easier to find high-quality images while maintaining accurate records of items.

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