Identify if food is vegetarian
using AI
Below is a free classifier to identify if food is vegetarian. Just upload your image, and our AI will predict if the food is vegetarian - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-food-is-vegetarian", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-food-is-vegetarian/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-food-is-vegetarian/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the food is vegetarian.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Non Vegetarian and Vegetarian.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the food is vegetarian).
Whether you're just curious or building if food is vegetarian detection into your application, we hope our classifier proves helpful.
Need to identify if food is vegetarian at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Dietary Compliance: This function can be integrated into catering services and restaurants to ensure that meals labelled as vegetarian comply with dietary requirements. By using an image classification system, establishments can streamline their food preparation processes and reduce the risk of serving non-vegetarian items to customers who have dietary restrictions.
- Food Delivery Services: Food delivery platforms can utilize this technology to verify the vegetarian status of dishes prepared by partner restaurants. This ensures that customers receive accurate meal options, enhancing user satisfaction and trust in the service provided.
- Nutritional Health Apps: Health and wellness applications can incorporate this image classification feature to help users make informed dietary choices. Users can snap pictures of their meals to identify whether they align with their vegetarian lifestyle and receive personalized nutritional advice based on their dining choices.
- Food Quality Control: Food manufacturers can apply this function during the quality control process to guarantee that vegetarian products meet industry standards. By automating the verification of ingredients in packaged foods, businesses can improve efficiency and reduce the potential for cross-contamination.
- Recipe Websites and Apps: Cooking and recipe platforms can utilize the image classification function to tag or filter vegetarian recipes automatically. This enhances user experience by helping individuals easily find meal options that fit their vegetarian preferences, increasing engagement and traffic to the site.
- Food Waste Reduction Initiatives: Organizations focused on reducing food waste can use this technology to analyze unsold or leftover food items for their vegetarian content. By identifying vegetarian items, they can redirect surplus food to vegetarian-oriented charities or food redistribution programs, promoting sustainability.
- Retail Inventory Management: Grocery stores can implement this function at various touchpoints, such as inventory management and labeling. By identifying and properly categorizing vegetarian products, retailers can optimize shelf space, improve inventory accuracy, and enhance the shopping experience for vegetarian consumers.