Identify if wearing mascara using AI

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

if wearing mascara identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-wearing-mascara", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-wearing-mascara/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-wearing-mascara/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if wearing mascara.

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

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

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

Need to identify if wearing mascara at scale?

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



  • E-commerce Personalization: In online beauty retail, an 'if wearing mascara' identifier can enhance customer experience by recommending makeup products based on user-uploaded images. By analyzing whether a customer is wearing mascara, the platform can suggest complementary items, such as mascara removers or new mascara variants aligned with their style.

  • Beauty App Development: Beauty and skincare apps can integrate this function to identify users' current makeup status and offer tailored tutorials or product recommendations. Users can receive specific advice on enhancing their look or transitioning from day to night makeup based on whether they are already wearing mascara.

  • Marketing Campaign Insights: Cosmetic brands can leverage this identifier to analyze the impact of their mascara advertisements in social media campaigns. By understanding user engagement (whether individuals post images wearing the brand's mascara), brands can adjust targeted ads and marketing messages accordingly.

  • Virtual Try-On Experiences: AR-based beauty applications can use this function to create interactive virtual try-on experiences. By identifying if a user is wearing mascara, the app can simulate how different eye shadows or eyeliners will look over their existing makeup, making the experience more immersive and personalized.

  • Social Media Filters: Social media platforms can implement this identification feature to enhance their makeup-related filters. Users can access specific effects or enhancements that only apply if they are already wearing mascara, promoting a fun and engaging way to interact with beauty products online.

  • Beauty Subscription Box Customization: Subscription services for beauty products could use this function to customize offerings based on user preferences. If a subscriber frequently shares images of themselves wearing mascara, the service can prioritize mascara samples or related products in their monthly box.

  • Influencer Content Analysis: Brands can utilize this identifier to analyze influencer content and assess their makeup application habits. By identifying whether influencers are consistently wearing mascara in their posts, brands can gauge their effectiveness for mascara marketing collaborations and tailor their outreach strategies accordingly.

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