Identify if green beans are rotten
using AI
Below is a free classifier to identify if green beans are rotten. Just upload your image, and our AI will predict if green beans are rotten - in just seconds.
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("if-green-beans-are-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-green-beans-are-rotten/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-green-beans-are-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if green beans are rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Green Beans and Rotten Green Beans.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if green beans are rotten).
Whether you're just curious or building if green beans are rotten detection into your application, we hope our classifier proves helpful.
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Need to identify if green beans are rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Agriculture: This use case involves automating the inspection process for green beans in farms. By employing this image classification function, farmers can quickly identify rotten beans during harvest, ensuring only fresh produce reaches the market.
- Supply Chain Management: Retailers can integrate this function into their supply chain processes to minimize the occurrence of rotten green beans during transit. By analyzing images of shipments before distribution, they can reject products that do not meet quality standards.
- Food Waste Reduction: Restaurants can implement this function to assess the freshness of green beans before cooking. By accurately identifying rotten beans, establishments can reduce food waste and optimize inventory management, ultimately saving costs.
- Consumer Quality Assurance: Grocery stores can use this technology at self-checkout stations to inform customers about the quality of produce they are purchasing. By scanning green beans, customers receive immediate feedback on whether they are buying fresh or rotten beans, enhancing their shopping experience.
- Compliance with Food Safety Regulations: Food processors can leverage this image classification to ensure compliance with health and safety standards. By routinely checking batches of green beans for rot, providers can avoid penalties and maintain high food safety ratings.
- Automated Sorting Systems: Manufacturers can integrate this function into automated sorting lines for green beans. By using image classification, they can accurately separate rotten beans, leading to efficiency improvements and cost savings in processing.
- Research and Development in Agriculture: Agricultural researchers can utilize this technology to study the factors that contribute to bean rot. By analyzing images and data, they can develop better cultivation methods and varieties of green beans that are less susceptible to spoilage.