Identify auto parts by logo using AI

Below is a free classifier to identify auto parts by logo. Just upload your image, and our AI will predict what auto part it is based on its logo - in just seconds.

auto parts by logo identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict what auto part it is based on its logo.

This pretrained image model uses a Nyckel-created dataset and has 35 labels, including Advance Auto Parts, Audi Parts, Autozone, Bmw Parts, Carid, Carquest, Chrysler Parts, Dodge Parts, Fiat Parts and Ford Performance.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what auto part it is based on its logo).

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

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Need to identify auto parts by logo at scale?

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



  • Inventory Management: This function can streamline inventory management for auto parts retailers by automatically classifying parts based on their logos. This allows businesses to quickly identify parts, reducing manual entry errors and ensuring accurate stock levels.

  • E-commerce Product Listings: E-commerce platforms can use the logo identifier to automatically categorize auto parts during the upload process. This improves user experience by ensuring that customers can easily find the parts they need based on brand recognition.

  • Warranty Verification: Service centers can utilize the logo classification function to verify warranty information associated with auto parts. By quickly identifying the manufacturer’s logo, they can streamline the claims process and enhance customer service.

  • Market Research and Analytics: Automotive companies can analyze the prevalence of different logos in the market using this classification function. This helps in understanding brand popularity and competition, guiding marketing strategies and product offerings.

  • Counterfeit Detection: Businesses can implement the logo identifier to detect counterfeit products in the auto parts supply chain. By verifying the authenticity of logos, they can maintain product integrity and protect consumer safety.

  • Customer Support Automation: Auto parts retailers can enhance their customer support systems by integrating the logo identifier. This allows support agents to quickly access product information and answer customer queries related to specific brands and parts.

  • Social Media Monitoring: The logo recognition function can be employed to monitor social media for mentions of specific auto brands. This enables companies to gauge public sentiment about their products and engage with customers or resolve issues proactively.

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