Identify if celery is moldy using AI

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

if celery is moldy identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if celery is moldy.

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

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

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

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Need to identify if celery is moldy at scale?

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



  • Quality Control in Food Processing: Implement the identifier in food processing plants to automatically detect moldy celery before packaging. This ensures only fresh products reach consumers, minimizing the risk of selling spoiled goods and maintaining brand reputation.

  • Grocery Store Inspections: Utilize the function in grocery stores during regular inspections to quickly identify spoiled produce. This can help staff remove moldy celery from shelves promptly, enhancing overall food safety and customer satisfaction.

  • Home Food Safety App: Integrate the identifier into mobile applications that monitor food quality at home. Users can scan their celery before consumption, receiving instant feedback on its freshness to help prevent foodborne illnesses.

  • Supply Chain Monitoring: Use the identifier throughout the supply chain to assess the freshness of celery at various stages—from farm to retailer. This technology enables better inventory management and reduces food waste due to spoilage.

  • Consumer Education Platforms: Incorporate the identifier into educational tools or platforms to teach consumers about identifying mold in food. This can empower users to make informed choices when purchasing and consuming celery.

  • Restaurant Inventory Management: Deploy the moldy celery identifier in restaurant kitchens to assess inventory before use. This ensures chefs only use fresh ingredients, leading to higher quality dishes and reducing the risk of serving spoiled food.

  • Agricultural Research: Utilize the classification function in agricultural research to study the conditions that lead to celery spoilage. Understanding these factors could lead to improved cultivation practices, reducing the prevalence of moldy produce.

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