Identify cooking oil brands using AI

Below is a free classifier to identify cooking oil brands. Just upload your image, and our AI will predict what cooking oil brand it is - in just seconds.

cooking oil brands identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("cooking-oil-brands", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/cooking-oil-brands/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/cooking-oil-brands/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what cooking oil brand it is.

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Avocado Oil, Canola Oil, Coconut Oil, Corn Oil, Flaxseed Oil, Grapeseed Oil, Olive Oil, Palm Oil, Peanut Oil and Safflower Oil.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what cooking oil brand it is).

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

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Need to identify cooking oil brands at scale?

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



  • Brand Verification: The function can be utilized by retailers and wholesalers to verify the authenticity of cooking oil brands delivered to their stores or distribution centers. By matching images against a database of known brands, businesses can prevent fraud and ensure product quality.

  • Market Analysis: Food manufacturers can use this image classification tool to gather data on the competition within the cooking oil market. By analyzing the presence and variety of brands in different locations, they can make informed decisions on product placement and marketing strategies.

  • Inventory Management: Supermarkets can integrate the cooking oil brand identifier into their inventory management systems. This allows for automatic tracking and classification of cooking oil products on shelves, improving restocking efficiency and reducing inventory discrepancies.

  • Consumer Education: Food brands can employ this function in mobile apps to help consumers identify quality cooking oil products based on visual recognition. By educating consumers on distinguishing genuine brands from counterfeit or low-quality options, they can enhance customer loyalty and trust.

  • Brand Performance Monitoring: Companies can leverage the tool to routinely audit their brand positioning in stores. By continuously monitoring how their products are displayed relative to competitors, they can adjust marketing strategies to optimize visibility and sales.

  • Packaging Compliance: Regulatory agencies can use the cooking oil brand identifier to ensure compliance with labeling and packaging standards. By verifying that brands conform to legal requirements, they can enhance consumer safety and enforce regulations more effectively.

  • E-commerce Enhancement: Online grocery platforms can utilize the function to improve product recommendations based on brand recognition. By accurately classifying cooking oil brands in user-uploaded images, the platform can offer tailored suggestions, enhancing the overall shopping experience.

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