Identify if food is for dinner
using AI
Below is a free classifier to identify if food is for dinner. Just upload your image, and our AI will predict if it's food for dinner - 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-food-is-for-dinner", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-food-is-for-dinner/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-for-dinner/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's food for dinner.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including No Dinner and Yes Dinner.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's food for dinner).
Whether you're just curious or building if food is for dinner detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if food is for dinner at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Personal Meal Planning: This function can assist users in generating personalized meal plans by identifying suitable foods for dinner. By classifying images of various food items, it can suggest combinations or alternatives to meet nutritional goals and preferences.
- Smart Cookbook Integration: In a digital cookbook application, this function can enhance user experience by filtering recipes based on identified dinner foods. Users can upload images of available ingredients, and the system will recommend recipes that utilize those items, making meal preparation easier.
- Inventory Management for Restaurants: Restaurants can use this function to streamline inventory management by categorizing food items. By identifying foods that are categorized as dinner items, kitchens can efficiently plan menu items and minimize food waste.
- Meal Kit Subscription Services: Meal kit companies can leverage this function to optimize their product offerings by identifying popular dinner-compatible foods. By analyzing user-generated images of meals, services can better tailor their kits to customer preferences, enhancing satisfaction and reducing returns.
- Food Photography Analysis for Bloggers: Food bloggers can use this image classification function to determine whether their photographs feature foods suitable for dinner. This can help them curate content and ensure their posts align with meal-intent, attracting audiences looking for dinner inspirations.
- Nutrition Tracking Applications: Health and nutrition apps can utilize this classification to assess users' dinner choices. By identifying the foods users consume and their classification as dinner items, the app can provide tailored feedback and nutritional analysis on eating habits.
- AI-Powered Recipe Development: Food scientists or product developers can use this function to assess which ingredients are commonly identified as dinner. This analysis can help them innovate new products or experiment with novel recipes, aligning with consumer dining patterns and trends.