Identify if suitable for public display using AI

Below is a free classifier to identify if suitable for public display. Just upload your image, and our AI will predict if it is suitable for public display - in just seconds.

if suitable for public display identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-suitable-for-public-display-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-suitable-for-public-display-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/if-suitable-for-public-display-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it is suitable for public display.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Suitable and Public Suitable.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it is suitable for public display).

Whether you're just curious or building if suitable for public display detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if suitable for public display at scale?

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



  • Content Moderation: This function can be employed by social media platforms to automatically determine whether user-uploaded images are suitable for public display. By filtering out inappropriate content, the platform can enhance user experience and adhere to community guidelines.

  • E-commerce Quality Control: Online retailers can utilize this classification to assess product images before they go live on their website. Ensuring images meet public display standards can help maintain brand integrity and foster consumer trust.

  • Digital Advertising Compliance: Ad agencies can implement this function to verify that images used in advertisements comply with regulatory and ethical standards. This reduces the risk of backlash from inappropriate content and helps maintain a positive brand image.

  • Automated Gallery Curation: Art galleries and museums can apply this technology to curate digital collections, ensuring only suitable artworks are displayed online. This approach streamlines the selection process, enhancing visitor experience while upholding institutional values.

  • Educational Content Filtering: Educational apps and platforms can leverage this identifier to screen images before they are shown to students. By ensuring that all displayed images are appropriate, these platforms can foster a safe learning environment for all users.

  • User-Generated Content Platforms: Websites that rely on user-generated content can use this classification function to preemptively filter submissions. By automatically identifying unsuitable images, these platforms can reduce manual moderation efforts and expedite content approval processes.

  • Online Gaming Safety: Gaming companies can incorporate this feature to assess images submitted by players for game modifications or character designs. Ensuring that images are suitable for public display helps maintain a safe environment and encourages community engagement.

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