Identify glasses using AI

Below is a free classifier to identify glasses. Just upload your image, and our AI will predict if the person is wearing glasses or not - in just seconds.

glasses identifier

Upload a headshot of the person

Contact us for API access

Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.

Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if the person is wearing glasses or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Wearing Glasses or Not.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the person is wearing glasses or not).

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

Recommended Classifiers

Need to identify glasses at scale?

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



  • Optometry Clinics: Track patient adherence to prescribed eyewear usage over time. Adjust treatment plans based on how consistently patients wear their glasses.

  • Automotive Safety: Customize heads-up displays and dashboard interfaces for drivers with glasses. Improve visibility and reduce glare for bespectacled drivers to enhance road safety.

  • Virtual Try-On Services: Automatically remove digital glasses from facial images for virtual eyewear fittings. Provide more accurate and realistic previews of new glasses styles for online shoppers.

  • Security Systems: Enhance facial recognition accuracy by accounting for the presence of glasses. Improve access control in high-security areas by adapting to changes in appearance.

  • Augmented Reality: Adjust AR displays to accommodate users wearing glasses for better visual experiences. Prevent display interference and improve comfort for glasses-wearing AR users.

  • Photography Services: Optimize camera settings to reduce glare and reflections for subjects with glasses. Improve photo quality and customer satisfaction in portrait and event photography.

  • Vision-Based UI Design: Adapt user interfaces in software and apps for users wearing glasses. Enhance readability and usability of digital products for glasses-wearing individuals.

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