Identify tv brand using AI

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

tv brand identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("tv-brand", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/tv-brand/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/tv-brand/invoke
                

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Acer, Benq, Hisense, Hitachi, Insignia, Jvc, Lg, Mitsubishi, Panasonic and Philips.

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

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

Recommended Classifiers

Need to identify tv brand at scale?

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



  • Brand Verification: This application can be used by retailers to ensure that the TV brands they are selling match their inventory data. By classifying images of TVs, stores can quickly verify that they are not displaying counterfeit products, ensuring brand integrity and customer trust.

  • Market Research: Companies can utilize this function to analyze the prevalence of different TV brands in various regions or demographics by collecting and classifying images from user-generated content on social media. This data can inform marketing strategies and product placement decisions.

  • Warranty Claims: Manufacturers can integrate this classification function into their warranty claim processes to verify the brand and model of televisions being claimed. This helps in streamlining claims processing and reducing fraud by confirming that the product is indeed covered under the warranty.

  • Product Comparison Platforms: Tech comparison websites can use this identifier to automatically recognize and categorize TVs uploaded by users for comparison. This functionality would enhance user experience by providing immediate access to relevant specifications and customer reviews for the identified brand.

  • Targeted Advertising: Digital marketing teams can leverage image classification to cater their ad campaigns more effectively. By identifying the brand of TVs in user-uploaded images, advertisers can tailor promotions and recommendations based on brand preferences and past consumer behavior.

  • Inventory Management: For logistics and warehouse management, this function can assist in accurately tracking inventory by automatically identifying brands during stock-taking. This enhances operational efficiency by reducing manual checks and ensuring accurate data in inventory systems.

  • E-commerce Listings: Online marketplaces can use this classification tool to automatically categorize and tag products based on brand. This will improve searchability for customers and help sellers ensure that their listings are correctly represented, ultimately enhancing the shopping experience.

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