Identify if cranberry is moldy
using AI
Below is a free classifier to identify if cranberry is moldy. Just upload your image, and our AI will predict if the cranberry is moldy - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-cranberry-is-moldy", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-cranberry-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-cranberry-is-moldy/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the cranberry is moldy.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Cranberry and Moldy Cranberry.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the cranberry is moldy).
Whether you're just curious or building if cranberry is moldy detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if cranberry is moldy at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Food Processing: This use case involves the integration of the moldy cranberry identifier in food processing plants. By automatically identifying moldy cranberries during production, companies can enhance their quality control processes, reduce waste, and ensure that only safe products are packaged for consumers.
- Supply Chain Management: Distributors can utilize the mold identification function to assess the quality of cranberries received from suppliers. This ensures that only high-quality, fresh cranberries are sent to retailers, enhancing customer satisfaction and maintaining brand reputation.
- Retail Freshness Assessment: Supermarkets can implement this technology to examine cranberries in real-time on store shelves. By identifying moldy berries, retailers can proactively remove affected products, thereby minimizing the risk of customers purchasing spoiled goods and reducing returns.
- Inventory Optimization: Using the moldy cranberry identification function, businesses can better manage their inventory levels. By quickly detecting and removing moldy products, companies can reduce spoilage, optimize stock turnover, and improve overall inventory health.
- Consumer Health Monitoring: This function can be embedded in mobile apps to allow consumers to scan cranberries they purchase. It helps individuals identify moldy produce before consumption, promoting health and safety within households by preventing foodborne illness.
- Research and Development: Food scientists and researchers can use this image classification function to study the conditions leading to cranberry mold growth. Understanding these factors can aid in developing better preservation techniques or mold-resistant cranberry varieties.
- Regulatory Compliance and Reporting: Food manufacturers can use the moldy cranberry identifier to ensure compliance with food safety regulations. By maintaining accurate records of mold incidents and taking corrective actions, companies can better align with industry standards and reduce the risk of fines or recalls.