Identify makeup finish type using AI

Below is a free classifier to identify makeup finish type. Just upload your image, and our AI will predict what type of makeup finish it is - in just seconds.

makeup finish type identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("makeup-finish-type", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/makeup-finish-type/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/makeup-finish-type/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what type of makeup finish it is.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Blurring, Cream, Dewy, Glossy, Hydrating, Iridescent, Liquid, Longwear, Luminous and Matte.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of makeup finish it is).

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

Need to identify makeup finish type at scale?

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



  • Personalized Skincare Recommendations: Utilize the makeup finish type identifier to suggest suitable skincare products based on the user's preferred finish. By analyzing the makeup finish, brands can tailor recommendations for moisturizers, primers, and serums that enhance or align with the user's desired look, improving customer satisfaction.

  • Virtual Makeup Try-Ons: Integrate the makeup finish identifier in augmented reality applications that allow users to virtually try on makeup. By accurately detecting the finish type, the app can provide users with a more realistic preview of how different products will look on their skin, increasing user engagement and reducing return rates.

  • Targeted Marketing Campaigns: Brands can use the makeup finish classification to analyze consumer preferences and create targeted marketing campaigns. By understanding which finishes are popular among different demographics, brands can tailor their advertising messages and product launches to better meet consumer needs.

  • Product Development Insights: Cosmetic companies can leverage the makeup finish identifier to gather insights into trends and consumer preferences. By analyzing data on popular finishes, companies can guide their product development teams in creating new formulations that resonate with the latest market trends.

  • E-Commerce Enhancement: Improve online shopping experiences by implementing the makeup finish type identifier on e-commerce platforms. Customers can filter and search for products based on finish types, which enhances the shopping experience and helps users find products that align with their preferences more easily.

  • Influencer Collaboration Matching: Brands can use the makeup finish identifier to identify influencers whose makeup looks align with their product finishes. This ensures that collaborations are authentic and targeted, boosting engagement and the effectiveness of marketing campaigns.

  • Consumer Feedback Analysis: Employ the makeup finish classification to analyze customer reviews and feedback regarding product performance. By categorizing reviews based on finishes, brands can better understand consumer sentiments and adjust formulations or marketing strategies accordingly.

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