Identify if shrimp is rotten
using AI
Below is a free classifier to identify if shrimp is rotten. Just upload your image, and our AI will predict if shrimp 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-shrimp-is-rotten", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-shrimp-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-shrimp-is-rotten/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if shrimp is rotten.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Shrimp and Rotten Shrimp.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if shrimp is rotten).
Whether you're just curious or building if shrimp is rotten detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if shrimp is rotten at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Seafood Processing: This function can be integrated into the quality control process of seafood processing facilities to automatically identify and segregate rotten shrimp. By using image classification, it can reduce human error and enhance productivity by ensuring only fresh shrimp are packaged for sale.
- Retail Inventory Management: Retailers can employ this technology to assess the freshness of shrimp in their seafood displays. By regularly scanning the inventory, the system can provide real-time insights on which products need to be sold quickly or removed from the shelf, minimizing waste and ensuring customer satisfaction.
- Food Safety Compliance: Restaurants and food service providers can use this function to monitor the quality of shrimp before cooking or serving. This application not only helps in maintaining food safety standards but also protects the business from potential health violations and enhances their reputation.
- Automated Supply Chain Monitoring: Shippers and distributors of seafood can implement this identifier to assess the quality of shrimp during transportation. By utilizing image recognition, they can identify spoilage issues early, leading to better handling and reduced product loss throughout the supply chain.
- Consumer Applications: A mobile application could be developed for consumers to check the freshness of shrimp before purchase. Shoppers could take a photo of the shrimp on display, and the app would indicate if the shrimp is safe to buy, empowering consumers to make informed decisions.
- Research and Development in Aquaculture: Aquaculture farms can leverage this image classification technology to monitor the health of harvested shrimp. By identifying rotten or unhealthy specimens, farms can improve their breeding practices and overall yield, leading to a more sustainable production model.
- Educational Tool: This function can serve as an educational resource for culinary schools or food safety training programs. By providing students and trainees with the ability to identify rotten shrimp through images, it can enhance their learning experience and emphasize the importance of food quality control in the culinary industry.