Identify makeup style
using AI
Below is a free classifier to identify makeup style. Just upload your image, and our AI will predict what makeup style is best suited for you - in just seconds.
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("makeup-style", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/makeup-style/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-style/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what makeup style is best suited for you.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Artistic, Bohemian, Bold, Classic, Colorful, Dewy, Editorial, Festive, Glam and Matte.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what makeup style is best suited for you).
Whether you're just curious or building makeup style detection into your application, we hope our classifier proves helpful.
Need to identify makeup style at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Beauty Retail Recommendations: This function can enhance the shopping experience on beauty retail websites by suggesting makeup products that align with a user's preferred makeup style. By analyzing users' uploaded photos, the system can provide tailored recommendations, improving customer satisfaction and increasing sales.
- Social Media Filters: This identifier can be integrated into social media platforms to offer users personalized filters that match their preferred makeup styles. Users can see how certain makeup looks would appear on them before applying, leading to higher engagement and sharing of makeup content.
- Makeup Tutorials Personalization: By identifying users' makeup styles, beauty tutorial platforms can recommend video content that matches their interests. This personalization increases the likelihood that users will engage with and follow along with tutorials tailored to their style.
- Virtual Try-Ons: This technology can be applied to virtual try-on applications, allowing users to simulate different makeup looks based on their identified style preferences. This enhances the user experience for cosmetic brands and gives consumers confidence in their purchases.
- Influencer Marketing Insights: Brands can leverage makeup style identification to analyze the styles favored by users engaged with specific influencers. This can inform marketing strategies and partnerships by aligning products with influencers who appeal to target audiences' aesthetic preferences.
- Event Makeup Planning: Event organizers in the beauty industry can utilize this function to suggest appropriate makeup styles for various occasions, such as weddings or parties, based on user preferences. This can simplify the planning process for clients seeking professional makeup services.
- AI-Driven Makeup Blogs: Beauty blogs can use the makeup style identifier to generate content tailored to readers' preferences. By providing articles, tips, and product lists that resonate with identified styles, blogs can boost user engagement and drive affiliate marketing revenue.