Identify if image is properly exposed using AI

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

if image is properly exposed identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-image-is-properly-exposed", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-image-is-properly-exposed/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-is-properly-exposed/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the image is properly exposed.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Improper Exposure and Proper Exposure.

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

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

Need to identify if image is properly exposed at scale?

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



  • Photography Quality Assurance: Professional photography studios can utilize the image exposure identifier to ensure that images meet quality standards before delivering to clients. This function would help photographers quickly filter out poorly exposed images, reducing the need for re-takes.

  • E-commerce Product Imaging: Online retailers can implement the exposure identifier to guarantee that all product images are well-lit and properly exposed. This would enhance the customer experience by ensuring that the displayed products look appealing and accurately represent their true colors and details.

  • Social Media Content Optimization: Influencers and social media marketers can use the identifier to evaluate their images before posting. By ensuring photos are properly exposed, users can boost engagement rates through higher-quality, eye-catching visuals.

  • Remote Sensing and Satellite Imagery: In environmental monitoring, agencies can deploy this function to assess the quality of satellite images. Proper exposure is crucial for accurate analyses, such as land use and vegetation health assessments.

  • Education and Online Courses: Educational institutions that provide photography courses can integrate this tool into their curriculum. It can serve as an automated feedback mechanism for students to learn about proper exposure techniques, improving their photographic skills.

  • AI Training Data Quality Control: Companies creating machine learning datasets for computer vision can utilize the exposure identifier to filter out improperly exposed images. This ensures that the training data is of high quality, leading to better model performance.

  • Real Estate Marketing Tools: Real estate agents can leverage the image exposure identifier to evaluate photos of properties before listing them. By ensuring all images are properly exposed, agents can present homes in the best light, attracting more potential buyers.

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