Identify if photo has lens flare using AI

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

if photo has lens flare identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-photo-has-lens-flare", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-photo-has-lens-flare/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-photo-has-lens-flare/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the photo has lens flare.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Clean and Lens Flare.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the photo has lens flare).

Whether you're just curious or building if photo has lens flare detection into your application, we hope our classifier proves helpful.

Need to identify if photo has lens flare at scale?

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



  • Photo Quality Assessment: This function can be integrated into photo editing software to automatically assess image quality. By identifying lens flares, the software can prompt users to either correct the issues or discard problematic images, enhancing the overall quality of photo collections.

  • Automated Image Tagging: E-commerce platforms can utilize this function to automatically tag images with relevant descriptors. By identifying lens flare, the system can categorize images as artistic or flawed, helping to organize product images more effectively.

  • Content Moderation for Social Media: Social media platforms can incorporate this function to filter out images with undesirable lens flares. By doing so, these platforms can maintain a certain aesthetic quality in user-generated content, enhancing the overall user experience.

  • Image Library Management: Digital asset management systems can use this identification function to streamline image library organization. By flagging images with lens flare, users can easily curate collections that meet specific aesthetic or professional standards.

  • Photography Tutorials Assistance: Online photography tutorial platforms can leverage this functionality to enhance learning materials. By analyzing sample images for lens flare, the platform can provide targeted advice on composition, lighting, and correction techniques to users.

  • Marketing Campaign Optimization: Marketing agencies can utilize this tool to analyze visual content for client campaigns. By identifying lens flares, they can select or create images that align better with branding goals, ensuring a polished and professional presentation.

  • Photo Restoration Projects: Restoration services can employ this function to evaluate and repair old or damaged photographs. By detecting lens flares in vintage images, professionals can prioritize which photos require restoration, leading to better resource allocation and client satisfaction.

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