API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("fruit-health", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/fruit-health/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/fruit-health/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what type of fruit it is.

This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Blemished, Damaged, Dried, Fresh, Frozen, Healthy, Infested, Juicy, Non Organic and Organic.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of fruit it is).

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

Need to identify fruit health at scale?

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

Grocery Store Inventory Management: Implementing the fruit health identifier in grocery stores can help manage inventory by quickly assessing the quality of fruits. This ensures that only fresh, healthy produce is displayed for sale, reducing waste and increasing customer satisfaction.

Food Supply Chain Monitoring: By incorporating the fruit health identifier in supply chain logistics, suppliers can monitor the condition of fruits during transportation. This tool can help identify potential spoilage, allowing for timely interventions and improved shelf life.

E-commerce Quality Assurance: Online grocery retailers can utilize the fruit health identifier to automatically verify the quality of fruits before they are shipped to customers. This technology enhances consumer trust by ensuring that only the best products reach them, potentially reducing return rates.

Agricultural Research Tool: Researchers can employ the fruit health identifier in agricultural studies to assess the effectiveness of different farming practices on fruit quality. This can lead to valuable insights and best practices that enhance yield and quality for growers.

Health Tracking for Dietitians: Dietitians can use the fruit health identifier to recommend optimal fruits to clients based on their health and nutrition goals. This ensures that clients are consuming fruits with the best nutrients and freshness, enhancing their dietary plans.

Restaurant Quality Control: Restaurants can integrate the fruit health identifier into their kitchen operations to ensure that only high-quality fruits are used in their dishes. This system can help maintain the standard of meals, leading to better customer experiences and reviews.

Mobile Application for Consumers: A consumer-facing app featuring the fruit health identifier can help shoppers make informed decisions while purchasing fruits. Shoppers can scan fruits in-store to check their health status, ensuring they choose the best options available.

Identify fruit health using AI

API Access

How this classifier works

Need to identify fruit health at scale?