Identify if wearing eyeliner
using AI
Below is a free classifier to identify if wearing eyeliner. Just upload your image, and our AI will predict if wearing eyeliner - 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-wearing-eyeliner", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-wearing-eyeliner/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-eyeliner/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if wearing eyeliner.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Eyeliner and No Eyeliner.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if wearing eyeliner).
Whether you're just curious or building if wearing eyeliner detection into your application, we hope our classifier proves helpful.
Need to identify if wearing eyeliner at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Beauty Product Recommendations: This function can be integrated into beauty e-commerce platforms to offer personalized product recommendations based on whether users wear eyeliner. By analyzing images, the system can suggest eyeliners, makeup removers, and complementary cosmetics tailored to each user’s habits.
- Virtual Makeup Try-On Apps: Beauty and cosmetics brands can implement this function in virtual makeup try-on applications. By identifying if a user is wearing eyeliner, the app can dynamically adjust makeup simulations for a more realistic representation of how new products will look.
- Social Media Filters: This function can enhance social media platforms by applying filters based on eyeliner usage. If a user’s photo indicates they are wearing eyeliner, the platform can suggest stylish eye effects or other beauty filters, promoting engaging content sharing.
- Makeup Tutorial Customization: Online beauty tutorial platforms can use this function to tailor content for users. If a user is identified as wearing eyeliner, the platform can suggest specific tutorials focusing on eyeliner styles, application techniques, or related makeup tips.
- Market Research for Beauty Brands: Brands can leverage this image classification function for market analysis, understanding trends in eyeliner usage among different demographics. This insight can inform product development and marketing strategies, enabling brands to tailor their offerings to customer preferences effectively.
- Influencer Partnership Analysis: Businesses can analyze influencer content to determine engagement based on eyeliner use. By evaluating images for eyeliner presence, brands can select potential ambassadors who align with their product niches, ensuring effective partnerships.
- Customer Feedback and Sentiment Analysis: Companies can implement this technology in customer feedback analysis by sorting images and comments related to eyeliner products. This can help identify customer satisfaction, preferences, and areas for improvement based on visual data, enhancing product offerings and customer service.