Identify image brightness using AI

Below is a free classifier to identify image brightness. Just upload your image, and our AI will predict if it's too dark or too bright. - in just seconds.

image brightness identifier

Image should be just the photo you want analyzed.

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("image-brightness-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/image-brightness-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/image-brightness-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it's too dark or too bright..

This pretrained image model uses a Nyckel-created dataset and has 3 labels, including Very Bright, Very Dark, and Normal..

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's too dark or too bright.).

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

Recommended Classifiers

Need to identify image brightness at scale?

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



  • Photography: Ensure consistent photo quality for clients. Automate adjustments to meet specific lighting requirements.

  • E-commerce: Optimize product images for better online display. Automatically adjust brightness for uniformity across the catalog.

  • Real Estate: Standardize lighting in property photos. Improve visual appeal of listings with consistent image brightness.

  • Healthcare: Standardize medical images for accurate diagnosis. Automatically correct brightness to improve image readability.

  • Marketing: Ensure all promotional images meet brand standards. Automatically adjust brightness for optimal visual impact.

  • Retail: Ensure product images are consistently bright. Improve online shopping experience with standardized visuals.

  • Insurance: Standardize photos for claims processing. Improve clarity of images submitted by policyholders.

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