Identify lighting setup type using AI

Below is a free classifier to identify lighting setup type. Just upload your image, and our AI will predict what type of lighting setup it is - in just seconds.

lighting setup type identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("lighting-setup-type", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/lighting-setup-type/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/lighting-setup-type/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what type of lighting setup it is.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Ambient Light, Backlighting, Butterfly Lighting, Clamshell Lighting, Fill Light, Hard Lighting, High Key, Key Light, Loop Lighting and Low Key.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of lighting setup it is).

Whether you're just curious or building lighting setup type detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify lighting setup type at scale?

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



  • Retail Store Optimization: This function can help retailers identify the most effective lighting setups for different product displays. By analyzing lighting types, stores can enhance the visual appeal of merchandise, ultimately driving higher sales and improving customer engagement.

  • Photography Studio Settings: Photographers can utilize this function to determine the ideal lighting arrangement for various types of shoots. By identifying suitable lighting setups, they can enhance image quality and achieve desired artistic effects, improving client satisfaction and portfolio quality.

  • Event Venue Lighting Management: Event planners can leverage this function to assess the most fitting lighting setups for various events. Knowing which lighting type works best for weddings, corporate events, or parties can create the right ambiance and elevate guest experiences.

  • Video Production Quality Control: In video production, this function aids cinematographers in selecting appropriate lighting for different scenes or settings. By ensuring optimal lighting classification, productions can reduce post-editing time and enhance the overall visual quality of the final output.

  • Interior Design Consultation: Interior designers can use this function to recommend lighting strategies that match their design themes. Accurate identification of lighting setups helps create environments that are not only visually pleasing but also functional for their intended purposes.

  • Virtual Reality Experience Enhancement: Developers of virtual reality applications can use this function to program realistic lighting conditions into their simulations. Proper lighting identification allows for immersive experiences, which can enhance user engagement and satisfaction with VR environments.

  • Agricultural Yield Improvement: In agriculture, this function can assist in identifying optimal lighting setups for indoor farming and greenhouse applications. By understanding how different lighting conditions affect plant growth, farmers can enhance crop yield and improve resource efficiency.

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