Identify if cabbage is rotten using AI

Below is a free classifier to identify if cabbage is rotten. Just upload your image, and our AI will predict if the cabbage is rotten - in just seconds.

if cabbage is rotten identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-cabbage-is-rotten", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-cabbage-is-rotten/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-cabbage-is-rotten/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict if the cabbage is rotten.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Cabbage Is Fresh and Cabbage Is Rotten.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the cabbage is rotten).

Whether you're just curious or building if cabbage is rotten detection into your application, we hope our classifier proves helpful.

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Need to identify if cabbage is rotten at scale?

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



  • Quality Control in Food Processing: Implementing the cabbage rot identifier can enhance quality assurance processes in food processing plants. By quickly identifying spoiled vegetables, the system can prevent contaminated products from reaching consumers, thus reducing waste and improving safety.

  • Smart Farming Practices: Farmers can utilize this classification function to monitor cabbage health in real-time through image recognition. By identifying rotten cabbages early, they can take proactive measures to improve crop yield and reduce losses due to spoilage.

  • Supply Chain Efficiency: Distribution centers can integrate this technology to assess cabbage quality before shipping. This ensures that only fresh products are sent to retailers, reducing the risk of returns and maintaining a strong brand reputation.

  • Inventory Management: Retailers can use the identifier to monitor the freshness of cabbages in their inventory. This technology can trigger restocking alerts or markdowns on items that are nearing spoilage, optimizing inventory turnover and minimizing waste.

  • Consumer Apps for Smart Shopping: A mobile application can be developed for consumers that utilizes this function to provide instant feedback on cabbage quality while shopping. Shoppers can scan cabbages in-store to make informed decisions, leading to higher customer satisfaction and brand loyalty.

  • Food Waste Reduction Programs: Organizations focused on reducing food waste can leverage this technology in food recovery initiatives. By identifying rotten cabbages before they are discarded, the program can redirect salvageable produce to food banks and charities.

  • Research and Development in Agriculture: Agricultural researchers can use this classification function to study the factors contributing to cabbage spoilage. By analyzing patterns in rot occurrence, new agricultural techniques can be developed to enhance cabbage shelf-life and quality.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access