Identify skincare brands
using AI
Below is a free classifier to identify skincare brands. Just upload your image, and our AI will predict which skincare brand best suits your needs. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("skincare-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/skincare-brands/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/skincare-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which skincare brand best suits your needs..
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Aveeno, Burt'S Bees, Cerave, Cetaphil, Clinique, Dove, Eucerin, Garnier, Kiehl'S and L'Oreal.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which skincare brand best suits your needs.).
Whether you're just curious or building skincare brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify skincare brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Authenticity Verification: The function can be used by retailers to verify the authenticity of skincare products. By analyzing images submitted by customers or retailers, it can identify whether the products match the recognized brands, helping to prevent counterfeit sales.
- Influencer Marketing Analysis: Skincare brands can utilize this function to analyze images posted by influencers. By determining whether the identified products are genuine or fakes, brands can better assess the effectiveness of their collaborations and monitor brand representation.
- Customer Feedback Insights: E-commerce platforms can implement this function to analyze customer-uploaded images of skincare products. This can help identify discrepancies between advertised products and those received, leading to improved customer satisfaction and operational adjustments.
- Brand Compliance Monitoring: Regulatory bodies or brand owners can use this function to monitor online platforms for compliance. By identifying and flagging false representations of their skincare products, they can take appropriate action against unauthorized sellers or misleading advertisements.
- Product Recommendations: Skincare apps can integrate this function to provide personalized product recommendations. By analyzing the images of products users currently own, the app can suggest complementary or alternative skincare items that are authentic and aligned with the user's skin type.
- Inventory Management Optimization: Retailers can leverage this function to optimize their inventory management. By verifying product authenticity in their stock through image analysis, they can ensure that only genuine products occupy shelf space, minimizing the risk of customer complaints.
- Social Media Monitoring: Brands can use this function to monitor social media for misrepresented products. By automatically scanning shared images, brands can quickly identify false claims about skincare items, enabling timely responses to potential brand image threats.