Identify concealer coverage
using AI
Below is a free classifier to identify concealer coverage. Just upload your image, and our AI will predict the level of coverage provided by different concealers - 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("concealer-coverage", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/concealer-coverage/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/concealer-coverage/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the level of coverage provided by different concealers.
This pretrained image model uses a Nyckel-created dataset and has 10 labels, including Buildable, Dewy, Full, Heavy, Light, Matte, Medium, Natural, Opaque and Sheer.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the level of coverage provided by different concealers).
Whether you're just curious or building concealer coverage detection into your application, we hope our classifier proves helpful.
Need to identify concealer coverage at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Skincare Product Quality Control: The concealer coverage identifier can be utilized in quality control processes for beauty brands to ensure that each batch of concealer achieves the desired level of coverage before it reaches consumers. By automatically assessing the effectiveness of the products, companies can reduce returns and improve overall customer satisfaction.
- Virtual Makeup Try-On Applications: E-commerce platforms can integrate the concealer coverage identifier into their virtual try-on features. This allows customers to see how well different concealers will cover blemishes or imperfections on their own faces before making a purchase, enhancing their shopping experience.
- Customer Feedback Analysis: Brands can use the identifier to analyze customer-uploaded photos in reviews, improving their understanding of how well their products perform in real life. This data can provide insights into product effectiveness and inform future product development.
- Personalized Beauty Consultations: Beauty professionals can leverage the concealer coverage identifier during online consultations to recommend products tailored to individual needs. By providing a precise analysis of coverage, consultants can create personalized beauty regimens that cater specifically to clients' skin concerns.
- Advertising and Marketing Optimization: Marketing teams can use the concealer coverage identifier to create targeted campaigns showcasing the effectiveness of their products. By using real data on coverage, they can craft compelling narratives that resonate with potential customers, leading to increased market engagement.
- Training and Education for Makeup Artists: Makeup academies can implement the identifier as a tool in training programs to help aspiring makeup artists understand coverage levels. By demonstrating the difference between various concealers, students can learn to select products that best match client needs and skin types.
- Research and Development for New Formulations: Cosmetic researchers can employ the identifier to evaluate new concealer formulations quickly and efficiently. This can streamline the product development cycle, enabling brands to bring innovative products to market that meet advanced coverage standards.