Identify tire brands by logo using AI

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

tire brands by logo identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 38 labels, including Assi, Avon, Bf Goodrich, Bfgoodrich, Bridgestone, Continental, Cooper, Dunlop, Falken and Federal.

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

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

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Need to identify tire brands by logo at scale?

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



  • E-commerce Enhancement: Online tire retailers can integrate the tire brand identification function to streamline the product listing process. By automatically classifying tire logos, the system enhances search accuracy, making it easier for customers to find their preferred brands.

  • Inventory Management: Tire distributors can utilize the logo identification function to maintain accurate inventory records. By scanning tire logos, they can track stock levels and ensure that all branded products are appropriately categorized in their warehouses.

  • Customer Support Automation: Automated customer service systems can employ this function to assist customers in identifying tire brands. When customers upload images of tires, the system can quickly return the brand information, reducing response times and improving customer satisfaction.

  • Fraud Detection: Tire manufacturers and retailers can use the logo classifier to detect counterfeit products in the market. By validating the logos of tires at the point of sale, companies can combat the proliferation of fake goods and protect their brand integrity.

  • Marketing Analysis: Marketing teams can leverage the logo identification function to analyze the presence of various tire brands across social media and digital platforms. This data can provide insights into brand popularity and competitive positioning, guiding marketing strategies.

  • Mobile App Development: A mobile application for tire enthusiasts can incorporate the logo classification feature, enabling users to identify tire brands simply by taking photos. This enhances user engagement and provides valuable recommendations based on identified brands.

  • Data Enrichment for Analytics: Companies can use the function as part of broader machine learning models to enrich datasets with tire brand information. By classifying images from user uploads or sales data, organizations can gain deeper insights into consumer preferences and market trends.

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