Identify lip dimension effect
using AI
Below is a free classifier to identify lip dimension effect. Just upload your image, and our AI will predict the dimensions of a person's 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("lip-dimension-effect", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/lip-dimension-effect/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/lip-dimension-effect/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the dimensions of a person's lips..
This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Asymmetrical, Colorful, Contoured, Defined, Exaggerated, Full, Glossy, Gradient, Matte and Natural.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the dimensions of a person's lips.).
Whether you're just curious or building lip dimension effect detection into your application, we hope our classifier proves helpful.
Need to identify lip dimension effect at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Cosmetic Product Development: The 'lip dimension effect' identifier can help cosmetic manufacturers analyze the impact of lip dimensions on the effectiveness and appeal of their products. By understanding how different lip shapes and sizes respond to various cosmetics, brands can tailor formulations for specific demographics, improving customer satisfaction and sales.
- Personalized Marketing Strategies: Retailers can leverage the false image classification function to create personalized marketing campaigns based on lip dimension effects. By segmenting customers according to their lip characteristics, brands can target specific audiences with customized product recommendations and advertisements, leading to higher conversion rates.
- Virtual Try-On Applications: Beauty apps can integrate this technology to enhance virtual try-on experiences by accurately depicting how lip products will appear on users with different lip dimensions. This feature can increase user engagement and reduce return rates, as customers will have a better idea of product outcomes before making a purchase.
- Social Media Influencer Analytics: Brands can employ the 'lip dimension effect' identifier to analyze the performance of beauty influencers’ posts related to lip products. By assessing how different lip dimensions contribute to influencer success, brands can make informed decisions about partnerships and targeted campaigns based on real-time data.
- Surgical Aesthetic Planning: Plastic surgeons can utilize this technology to better predict and visualize the outcomes of lip enhancement procedures. The tool can aid in pre-surgical consultations, helping to set realistic expectations for patients based on their existing lip dimensions and desired effects.
- Trend Analysis in the Beauty Industry: Analysts can use the false image classification function to identify trends in lip dimensions that correlate with changing beauty standards over time. Understanding these trends can inform product design and marketing strategies, enabling brands to stay ahead of market demands.
- Cosmetic Ingredient Research: Researchers can leverage the lip dimension effect identifier to study how different lip dimensions affect the absorption and efficacy of lip care ingredients. This data can lead to innovative formulations that are better suited for specific lip shapes and sizes, thereby enhancing product effectiveness.