Identify food spoilage indicators using AI

Below is a free classifier to identify food spoilage indicators. Just upload your image, and our AI will predict how safe the food is to consume - in just seconds.

food spoilage indicators identifier

Contact us for API access

Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.

Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("food-spoilage-indicators", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/food-spoilage-indicators/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/food-spoilage-indicators/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict how safe the food is to consume.

This pretrained image model uses a Nyckel-created dataset and has 18 labels, including Color Change, Crystallization, Discoloration, Dryness, Expiration Date, Fermentation, Foul Odor, Liquefaction, Mold and Pitting.

We'll also show a confidence score (the higher the number, the more confident the AI model is around how safe the food is to consume).

Whether you're just curious or building food spoilage indicators detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify food spoilage indicators at scale?

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



  • Grocery Store Quality Control: Grocery stores can implement the food spoilage indicators identifier to assess the quality of perishable products on their shelves. By scanning items for spoilage signs, stores can reduce waste and ensure that customers receive fresh produce.

  • Food Delivery Services: Food delivery apps can utilize this technology to verify the condition of food items before dispatch. By assessing spoilage indicators, these services can maintain high standards for food quality and enhance customer satisfaction.

  • Home Kitchen Monitoring: Home smart appliances can integrate the spoilage indicator function to monitor food items stored within them. By alerting users when items show signs of spoilage, families can minimize food waste and optimize meal planning.

  • Restaurant Inventory Management: Restaurants can employ this function as part of their inventory management system. By monitoring their food supplies for spoilage, they can manage stock levels efficiently, reduce overhead costs, and ensure that meals are prepared with fresh ingredients.

  • Supply Chain Management: Food manufacturers and distributors can utilize the spoilage indicators to monitor the condition of products throughout the supply chain. This can help prevent loss due to spoilage during transportation, leading to increased efficiency and profit margins.

  • Consumer Food Safety Apps: Developers of consumer apps focused on food safety can integrate the spoilage indicator feature. This would empower users to make informed decisions while shopping or cooking by identifying potentially spoiled items quickly.

  • Food Waste Reduction Programs: Non-profit organizations focused on sustainability can use the spoilage indicators to aid in their food recovery efforts. By identifying when food items are nearing spoilage, they can redirect them to organizations that feed those in need, reducing overall food waste.

Start building custom ML models today

Rapidly develop and deploy custom ML models that are accurate, secure, and easy to integrate. No Phd required.

Get custom demo