Identify wine bottle conditions using AI

Below is a free classifier to identify wine bottle conditions. Just upload your image, and our AI will predict if the wine bottle is in good condition or not - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("wine-bottle-conditions", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/wine-bottle-conditions/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-bottle-conditions/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if the wine bottle is in good condition or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Damaged and Good.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the wine bottle is in good condition or not).

Whether you're just curious or building wine bottle conditions detection into your application, we hope our classifier proves helpful.

Need to identify wine bottle conditions at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Quality Assessment: This use case involves assessing the condition of wine bottles to determine their quality. By analyzing the images for signs of damage or spoilage, businesses can ensure only the best products are offered to customers, enhancing overall customer satisfaction.

Inventory Management: Retailers can utilize this functionality to categorize wine bottles based on their condition during inventory audits. Accurate classification helps prevent mismanagement and allows for timely removal of defective stock, reducing losses.

E-commerce Optimization: Online wine retailers can implement this image classification tool to provide customers with clear indications of each bottle's condition. This helps in building trust with buyers by setting proper expectations, potentially leading to higher sales conversion rates.

Insurance Claims Processing: Wine collectors can use this identification function when filing insurance claims for damaged bottles. By providing precise images that classify conditions, it streamlines the claims process, leading to faster resolutions and improved customer service.

Auction Assessments: Auction houses can leverage this technology to evaluate the condition of wine bottles being sold. Accurate assessments lead to fairer valuations, helping buyers make informed decisions and sellers to maximize returns on their investments.

Automated Quality Control: Wineries can integrate this image classification system into their production lines for real-time quality control. Detecting defects in bottles before they reach consumers helps maintain brand integrity and reduces the risk of recalls.

Consumer Education: Wine retailers can use the image classification results in educational materials for customers, explaining how to assess wine bottle conditions. This empowers consumers to make informed decisions when purchasing, fostering a more knowledgeable customer base and increasing brand loyalty.