Identify wine brands
using AI
Below is a free classifier to identify wine brands. Just upload your image, and our AI will predict what wine brand it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("wine-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/wine-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/wine-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what wine brand it is.
This pretrained image model uses a Nyckel-created dataset and has 33 labels, including Barbera, Cabernet Franc, Cabernet Sauvignon, Champagne, Chardonnay, Dessert Wine, Fiano, Fortified Wine, Gewürztraminer and Grenache.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what wine brand it is).
Whether you're just curious or building wine brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify wine brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Wine Label Verification: This use case involves wineries and distributors using the false image classification function to verify the authenticity of wine labels. By comparing images of wine bottles against a known database of legitimate labels, businesses can prevent counterfeiting and ensure that customers receive genuine products.
- E-commerce Quality Control: Online wine retailers can implement this function to automatically check the images uploaded by sellers. By flagging images that do not match authorized brand representations, retailers can maintain a consistent and trustworthy catalog, boosting customer confidence and reducing returns.
- Marketing Analysis: Wine brands or marketers can use this functionality to analyze how their labels and branding are being displayed across social media platforms and other digital channels. By identifying unauthorized or altered images, brands can take corrective actions and protect their intellectual property.
- Inventory Management: Wine distributors can integrate this image classification tool within their inventory management systems. By ensuring that all displayed products match the correct brand images, businesses can streamline their cataloging processes, improving stock accuracy and efficiency.
- Regulatory Compliance: Regulatory bodies can use this function to ensure wine producers adhere to labeling laws and guidelines. By detecting false or misleading images, enforcement agencies can better regulate the market and protect consumers from deceptive practices.
- Customer Feedback Collection: Restaurants and bars can implement this functionality to gather customer feedback on wine selections. By ensuring that wine labels match the actual offerings, businesses can ensure that customer reviews and ratings are based on the correct products, leading to more reliable feedback.
- Fraud Detection in Wine Auctions: Online wine auction platforms can utilize this image classification feature to identify fraudulent listings. By cross-referencing images against a database of legitimate brands, auction houses can eliminate the risk of counterfeit wines being sold to collectors and enthusiasts.