Identify if onion is moldy using AI

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

if onion is moldy identifier

API Access


import nyckel

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

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

How this classifier works

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

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

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

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

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Need to identify if onion is moldy at scale?

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



  • Quality Control in Food Production: In food processing facilities, the moldy onion identifier can be implemented to automatically inspect incoming raw materials. This helps ensure that only high-quality, mold-free onions enter the production line, reducing waste and improving overall product safety.

  • Grocery Store Inventory Management: Supermarkets can utilize the mold detection function during inventory checks. By accurately identifying moldy onions, stores can efficiently manage their inventory, reducing spoilage and ensuring customers only receive fresh produce.

  • Food Waste Reduction Initiatives: Non-profit organizations focused on food waste reduction can use this technology to assess donated produce. By quickly identifying moldy onions, they can divert affected goods away from distribution, thereby improving food safety and maximizing resource efficiency.

  • Smart Agriculture Monitoring: Farmers can integrate the onion mold detection system into their field monitoring practices. This allows for early detection of mold on crops, enabling timely interventions and reducing the reliance on pesticides, thus promoting sustainable agricultural practices.

  • Supply Chain Traceability: Food distributors can implement the moldy onion identifier during shipment inspections. This enhances traceability within the supply chain, as identifying spoiled products at any stage helps maintain quality and provides valuable feedback for suppliers.

  • Home Kitchen Assistance: A consumer-facing application can be developed that allows home cooks to scan their onions using a smartphone. This could provide immediate feedback on the freshness of the produce, helping individuals make better purchasing and cooking decisions.

  • Research and Development in Food Science: Researchers can utilize this classification function to study the impact of storage conditions on onion spoilage. By analyzing patterns in mold development, they can develop improved storage solutions that prolong shelf life and reduce food waste.

Want this classifier for your business?

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

Get Access