Identify if peanut butter is rotten
using AI
Below is a free classifier to identify if peanut butter is rotten. Just upload your image, and our AI will predict if the peanut butter is 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-peanut-butter-is-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-peanut-butter-is-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-peanut-butter-is-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the peanut butter is rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Rotten and Rotten.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the peanut butter is rotten).
Whether you're just curious or building if peanut butter is rotten detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if peanut butter is rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Food Manufacturing: This use case involves integrating the peanut butter rotten identifier into the quality control processes of food manufacturing facilities. By automatically screening products, the system can flag and remove any batches that contain spoiled peanut butter, ensuring that only safe and high-quality products reach consumers.
- Retail Shelf Monitoring: Retailers can utilize image classification to monitor the freshness of peanut butter on store shelves. By deploying cameras that detect rotten peanut butter, stores can quickly remove affected products, reducing customer complaints and enhancing brand reputation.
- Food Donation Organizations: Charitable food organizations can implement this technology to assess the quality of peanut butter donations. By identifying rotten products quickly, they can ensure that only edible and safe items are distributed, thereby improving food safety for the communities they serve.
- Home Kitchen Monitoring: Home automation systems can use this image classification function to scan peanut butter jars in consumers’ kitchens. Alerts can be sent to users when potential spoilage is detected, promoting food safety and reducing food waste.
- E-commerce Quality Assurance: Online grocery retailers can use the technology to conduct quality assurance on peanut butter sold through their platform. By validating the condition of products during packaging or before delivery, they can minimize returns and improve customer satisfaction.
- Food Safety Research: Researchers can leverage this image classification feature in studies focused on food safety and preservation techniques. By accurately assessing the condition of peanut butter samples, they can gather valuable data on spoilage rates and effective preservation methods.
- Supply Chain Management: Companies involved in the supply chain of peanut butter can incorporate this technology to monitor its condition during transportation and storage. By ensuring that rotten products are identified early, they can minimize losses and maintain the integrity of their supply chain.