Identify if butter is rotten using AI

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

if butter is rotten identifier

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Get started

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

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

How this classifier works

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

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

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

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

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Need to identify if butter is rotten at scale?

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



  • Quality Control in Food Manufacturing: Food manufacturers can utilize the 'if butter is rotten' identifier to automate quality control processes. By integrating this function into production lines, they can detect and remove spoiled butter before it reaches consumers, ensuring product safety and compliance with health regulations.

  • Grocery Store Inventory Management: Grocery stores can implement this classification function to regularly monitor their butter stock. By identifying rotten butter, stores can reduce waste and improve inventory turnover, ensuring customers only receive fresh products.

  • Home Food Safety App: A consumer-facing app can leverage this function to help users determine the freshness of butter at home. By snapping a photo of their butter, users can receive instant feedback on whether it is still safe to consume, promoting better food safety practices.

  • Restaurant Food Quality Assurance: Restaurants can integrate the identifier into their kitchen processes to maintain high food safety standards. By checking the freshness of butter before use, chefs can avoid serving spoiled ingredients and enhance the quality of their dishes.

  • Supply Chain Monitoring: Food distributors can use the classification function to monitor storage conditions and ensure that butter remains fresh throughout the supply chain. By identifying rotten butter, they can take corrective actions swiftly, minimizing losses and ensuring product quality.

  • Consumer Education Campaigns: Food safety organizations can employ this technology in educational initiatives to raise awareness about proper butter storage and spoilage signs. By demonstrating how to identify rotten butter, they can equip consumers with practical knowledge and tools for safer food handling.

  • E-commerce Product Verification: Online grocery platforms can integrate this identifier to verify the quality of butter sold through their service. By using image classification to check for spoilage, they can enhance customer trust and satisfaction by guaranteeing the freshness of their products upon delivery.

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