Identify if scene uses extras using AI

Below is a free classifier to identify if scene uses extras. Just upload your image, and our AI will predict if it uses extras - in just seconds.

if scene uses extras identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-scene-uses-extras", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-scene-uses-extras/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-scene-uses-extras/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it uses extras.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Has Extras and No Extras.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it uses extras).

Whether you're just curious or building if scene uses extras detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if scene uses extras at scale?

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



  • Marketing Content Optimization: This function can analyze promotional images to determine if they include extras such as props or models. By identifying these elements, businesses can optimize their marketing strategies to enhance customer engagement and attraction.

  • E-Commerce Product Display: Retailers can use this classification function to assess product images on their platforms. By identifying the presence of extras, e-commerce companies can curate and display images that lead to higher conversion rates, ensuring the right visual context for customers.

  • Social Media Analytics: Companies can employ this feature to evaluate images posted on their social media accounts. By identifying whether scene extras are included, brands can analyze the performance of posts and tailor their content to maximize audience reach and interaction.

  • Content Moderation for User-Generated Content: Platforms that host user-generated content can utilize this function to monitor images for compliance with community guidelines. Identifying extra elements can help flag inappropriate or misleading content, maintaining a safe environment for users.

  • Advertising Campaign Effectiveness: Advertisers can analyze how different backgrounds and extras in their ads impact viewer engagement. By measuring the effectiveness of these elements, brands can refine their advertising strategies, leading to improved return on investment.

  • Event Planning Visualization: Event planners can use the classification function to determine how well venue images capture the desired atmosphere. Identifying extras can help planners visualize event setups and tailor marketing materials to better attract potential clients.

  • Image Content Curation for News Outlets: News media organizations can leverage this classification tool to select images that convey a more complete story. By identifying extras in images, journalists can ensure comprehensive coverage, enriching the narrative and enhancing audience understanding.

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