Identify if has overlined lips
using AI
Below is a free classifier to identify if has overlined lips. Just upload your image, and our AI will predict if it has overlined lips - 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("if-has-overlined-lips", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-has-overlined-lips/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-has-overlined-lips/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it has overlined lips.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Natural Lips and Overlined Lips.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it has overlined lips).
Whether you're just curious or building if has overlined lips detection into your application, we hope our classifier proves helpful.
Need to identify if has overlined lips at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Cosmetic Product Recommendations: This function can be utilized by beauty and cosmetic retailers to enhance their online shopping experience. By identifying users with overlined lips in uploaded photos, the platform can suggest specific lip products such as liners and lipsticks that achieve a similar look.
- Virtual Makeup Try-Ons: Makeup brands can incorporate this image classification function into their augmented reality (AR) applications. When users upload their images, the system can analyze their lip styles and allow for virtual try-ons of different lip colors and styles, improving customer engagement and satisfaction.
- Social Media Analytics for Cosmetics: Social media platforms can employ this identifier to analyze trends in makeup styles, particularly focusing on overlined lips. By aggregating data on popular lip types, brands can tailor marketing strategies and campaigns to align with current user preferences.
- Personalized Beauty Tutorials: Beauty influencers and content creators can use this function to offer personalized video tutorials. By identifying whether a viewer has overlined lips, they can create tailored content that teaches techniques specifically for achieving or enhancing that lip style.
- Market Research for Trends: Cosmetic companies can leverage this identifier for market research, collecting data on the prevalence of overlined lips across different demographics. This information helps brands tailor their product offerings and marketing campaigns to better fit consumer preferences.
- Makeup Application Services: Beauty salons and makeup studios can integrate this function into their booking systems. By analyzing client images beforehand, the stylist can prepare for appointments by understanding the client’s preferred lip styles, leading to more customized and satisfactory services.
- Influencer Selection for Campaigns: Marketing agencies can use this image classification to identify potential influencers with popular makeup styles, including overlined lips. This identification helps brands select the right influencers that align with their product aesthetics, boosting the effectiveness of marketing campaigns.