Identify storage bags by logo using AI

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

storage bags by logo identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("storage-bags-by-logo", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/storage-bags-by-logo/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/storage-bags-by-logo/invoke
                

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 10 labels, including Glad, Great Value, Hefty, Ifoodbag, Partystar, Reynolds, Rubbermaid, Scotch, Sterilite and Ziploc.

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

Whether you're just curious or building storage bags by logo detection into your application, we hope our classifier proves helpful.

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Need to identify storage bags by logo at scale?

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



  • Brand Verification: This function can be employed by retailers to ensure that all storage bags on their shelves are accurately represented by their logos. By scanning the items, retailers can cross-check the logos against a database, helping to eliminate counterfeit products and maintain brand integrity.

  • Inventory Management: Warehouse managers can utilize this image classification function to automate the sorting and identification of storage bags based on their logos. This will streamline the inventory process, reduce errors in stock categorization, and optimize storage space.

  • E-commerce Optimization: Online retailers can implement this function to enhance product listings by verifying that the displayed logos match the actual items in inventory. This aids in improving customer trust and decreases the likelihood of returns due to misrepresented products.

  • Market Analysis: Companies can use this classification function to analyze the market presence of different storage bag brands. By collecting data on which logos are most prevalent in various locations, businesses can make informed decisions regarding marketing strategies and product placement.

  • Quality Control: Manufacturers can incorporate this function into their quality assurance processes to identify any discrepancies in logos on storage bags. By ensuring that each product meets brand specifications, manufacturers can significantly reduce the chances of defective products reaching consumers.

  • Customization Verification: Businesses offering personalized storage bags can utilize the logo identifier to ensure that customer-requested logos are accurately applied. This function helps avoid errors during the customization process, thus enhancing customer satisfaction and brand loyalty.

  • Brand Awareness Campaigns: Marketing teams can leverage the classification capabilities to track the visibility of their logos in various environments like retail stores or promotional events. This data can inform campaign adjustments and help measure the effectiveness of brand awareness initiatives.

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