Identify if food is low-fat using AI

Below is a free classifier to identify if food is low-fat. Just upload your image, and our AI will predict if the food is low-fat - in just seconds.

if food is low-fat identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-food-is-low-fat", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-food-is-low-fat/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-low-fat/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the food is low-fat.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Low Fat and Not Low Fat.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the food is low-fat).

Whether you're just curious or building if food is low-fat detection into your application, we hope our classifier proves helpful.

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Need to identify if food is low-fat at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Dietary Tracking App: A mobile application that allows users to log their food intake by scanning images of their meals. The low-fat identifier can analyze photos to provide instant feedback on the fat content of the dishes, helping users adhere to their dietary goals.

  • Restaurant Menu Optimization: Restaurants can use the low-fat identifier to analyze the calorie content and nutritional information of their menu items. This functionality can help establishments promote healthier options, attracting health-conscious customers and complying with dietary regulations.

  • Nutrition Education Tool: Schools and educational institutions can implement this image classification function in nutrition education programs. By teaching students to identify low-fat foods through visual recognition, they can enhance their understanding of healthy eating habits and food choices.

  • Grocery Store Inventory Management: Grocery stores can apply the low-fat identifier to better manage the nutritional profiles of their stock. By classifying products as low-fat, stores can tailor promotions and marketing strategies to highlight these healthier options to customers.

  • Meal Delivery Services: Companies that provide meal delivery can leverage the low-fat identifier to ensure that meals meet specific dietary requirements. This feature would allow users to filter and select meals that align with their low-fat preferences, enhancing customer satisfaction.

  • Fitness and Wellness Coaching: Personal trainers and wellness coaches can integrate the low-fat identifier into their client programs for tracking food intake. By providing accurate assessments of clients' meals, they can offer more tailored fitness and nutrition advice.

  • Food Blogging and Recipe Development: Food bloggers can utilize the low-fat identifier to create and promote low-fat recipes. This tool can assess the healthiness of their dishes, allowing them to provide valuable information and engage an audience interested in healthier cooking alternatives.

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