Identify if food is for breakfast using AI

Below is a free classifier to identify if food is for breakfast. Just upload your image, and our AI will predict if it's for breakfast - in just seconds.

if food is for breakfast identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if it's for breakfast.

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

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's for breakfast).

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

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Need to identify if food is for breakfast at scale?

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



  • Personalized Meal Planning: A meal planning application can leverage the 'if food is for breakfast' identifier to help users create tailored breakfast options based on food images. Users can upload images of available ingredients, and the app can suggest breakfast recipes that utilize those items, enhancing convenience and improving dietary choices.

  • Dietary Compliance Monitoring: Nutrition tracking apps can implement this function to assess users' food consumption patterns regarding breakfast. By uploading images of their meals, users can receive feedback on their adherence to healthy breakfast standards, helping them maintain a balanced diet.

  • AI-Powered Smart Refrigerator: Smart refrigerators can integrate this function to automatically categorize food items by meal types. When users place ingredients inside, the fridge can identify whether they are suitable for breakfast and suggest storage or meal utilization options based on that classification.

  • Grocery Shopping Assistant: A grocery shopping app can utilize the identifier to recommend breakfast items while users browse products online. By analyzing the food images being considered for purchase, the app can suggest commonly paired breakfast foods or alert users to healthier alternatives.

  • Food Delivery Services: Meal delivery apps can use this classifier to filter and recommend breakfast options specifically to customers looking for morning meals. By categorizing dishes based on whether they are breakfast-appropriate, companies can streamline order personalization and enhance user satisfaction.

  • Cooking Tutorials and Recipe Sharing: Online cooking platforms can incorporate the identifier in their recipe suggestions to filter content for breakfast-related meals. Users can upload their food images, and the platform can recommend popular breakfast recipes or tutorials based on those inputs, fostering community engagement.

  • Social Media Meal Sharing Apps: Apps focused on food sharing can utilize this function to help users tag and categorize their posts accurately. By identifying whether the uploaded food images are breakfast items, the app can enhance searchability and engagement within the community for breakfast-themed content.

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