Identify nut type using AI

Below is a free classifier to identify nut type. Just upload your image, and our AI will predict what type of nut it is - in just seconds.

nut type identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("nut-type", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/nut-type/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/nut-type/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what type of nut it is.

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Acorn, Almond, Beechnut, Bitter Nut, Brazil Nut, Cashew, Chestnut, Coconut, Filbert and Hazelnut.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of nut it is).

Whether you're just curious or building nut type detection into your application, we hope our classifier proves helpful.

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Need to identify nut type at scale?

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



  • Quality Control in Food Industry: This use case involves using the nut type identifier in manufacturing facilities to ensure that the nuts being processed meet quality standards. By automatically categorizing different nut types, manufacturers can quickly identify any contaminants or incorrect products and take actions to prevent contamination and ensure consumer safety.

  • E-Commerce Product Classification: E-commerce platforms can integrate the nut type identifier to enhance product categorization for customers searching for specific types of nuts. This function would help the platform recommend products more accurately and streamline the shopping experience by providing more precise filters and search results.

  • Allergen Detection in Food Products: Restaurants and packaged food companies can utilize the nut type identifier to flag potential allergen risks in their offerings. By accurately identifying nut types, food safety managers can better inform customers about allergen content and adhere to regulatory requirements, safeguarding public health.

  • Nutritional Analysis for Health Apps: Health and nutrition applications can use the nut type identifier to perform detailed nutritional analyses of dietary habits. By classifying nuts consumed by users, these apps can offer tailored advice and insights on dietary intake, helping users manage health goals effectively.

  • Supply Chain Transparency: Nut producers and suppliers can leverage the nut type identifier to enhance traceability and transparency in the supply chain. By accurately identifying and classifying nuts throughout the production and shipping process, stakeholders can ensure product integrity and reduce risks associated with mislabeling.

  • Automated Inventory Management: Grocery stores and warehouses can employ the nut type identifier to maintain an organized inventory of nut products. This functionality can assist with stock tracking, reordering processes, and managing shelf life by accurately classifying and quantifying different nut types in real-time.

  • Agricultural Research and Development: Agricultural researchers can use the nut type identifier to analyze nut crop varieties and their genetic characteristics. This tool can support efforts in breeding programs aimed at enhancing yield, resistance to pests, and improving nutritional content, ultimately contributing to sustainable agriculture practices.

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