Identify if shrimp is moldy
using AI
Below is a free classifier to identify if shrimp is moldy. Just upload your image, and our AI will predict if shrimp is moldy - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-shrimp-is-moldy", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-shrimp-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-shrimp-is-moldy/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if shrimp is moldy.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Shrimp and Moldy Shrimp.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if shrimp is moldy).
Whether you're just curious or building if shrimp is moldy detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if shrimp is moldy 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 seafood processing facilities to enhance quality control measures. By automatically identifying moldy shrimp in real time, processors can reduce spoilage and ensure only fresh products reach the market.
- Supply Chain Monitoring: Retailers and distributors can utilize this classifier to monitor the condition of shrimp during transportation. By identifying moldy shrimp early, they can take corrective actions, minimizing financial losses and ensuring higher quality products for consumers.
- Restaurant Food Safety Compliance: Restaurants can adopt this technology to ensure compliance with food safety regulations. By regularly checking shrimp supplies for mold, they can maintain high hygiene standards and avoid serving contaminated seafood to patrons.
- Consumer Awareness Apps: Mobile applications designed for consumers can incorporate this feature to empower users to check shrimp freshness before purchase. By scanning the shrimp packaging or the product itself, users can receive instant feedback on potential mold, ensuring informed purchasing decisions.
- Automated Sorting Systems: Grocery and seafood markets can implement automated sorting systems that use this classifier to separate fresh shrimp from those that are moldy. This increases operational efficiency by reducing manual inspection while ensuring only safe products are displayed for sale.
- Research and Development in Aquaculture: Researchers in aquaculture can employ this identification function to study moldy shrimp in controlled environments. The data collected can help improve farming practices and develop strategies to minimize spoilage and enhance product quality.
- Educational Tools for Food Safety: This classification function can be utilized in food safety training programs to educate staff on identifying spoiled seafood. By simulating moldy shrimp detection, trainees can learn the importance of food safety standards and how to implement them effectively.