Identify what material a dish is made from
using AI
Below is a free classifier to identify what material a dish is made from. Just upload your image, and our AI will predict what material a dish is made from - 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("what-material-a-dish-is-made-from", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/what-material-a-dish-is-made-from/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/what-material-a-dish-is-made-from/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what material a dish is made from.
This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Acrylic, Aluminum, Bamboo, Ceramic, Clay, Composite, Copper, Earthenware, Fiberglass and Glass.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what material a dish is made from).
Whether you're just curious or building what material a dish is made from detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify what material a dish is made from at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Material Quality Assessment: This use case involves determining the material composition of dishes in the food industry to ensure compliance with safety and quality standards. By accurately identifying materials, businesses can prevent the use of harmful or subpar ingredients in food preparation.
- Sustainable Sourcing Verification: Restaurants and food manufacturers can leverage this function to verify the material type of dishware used in their establishments. This helps in promoting sustainability initiatives by enabling companies to source eco-friendly materials and reduce their carbon footprint.
- Dishware Inventory Management: A smart inventory system can use this function to classify dishes by material type, aiding in better organization and efficient stock management. This can help businesses keep track of materials for replacement and avoid purchasing unnecessary items.
- Menu Pairing Recommendations: This function can enhance the customer dining experience by suggesting food and drink pairings based on the material of the dishware. For instance, a specific type of ceramic might enhance the taste of certain cuisines, providing a more refined dining experience.
- Hazard Identification in Food Service: This application can be utilized in food service environments to identify materials that may present safety hazards, such as lead in dishware or materials that aren't microwave-safe. By using this identifier, establishments can ensure all dishware complies with health regulations.
- Customer Preferences Insights: Restaurants can analyze customer feedback and preferences based on the materials of the dishes they serve. By identifying trends in customer satisfaction related to certain materials, businesses can make informed decisions about upgrading or changing their dishware offerings.
- Custom Dish Design Recommendations: Design firms can use this function to suggest appropriate materials for custom dishes based on aesthetic and functional needs. This helps in promoting innovative dishware solutions that align with client specifications for both aesthetics and durability.