Identify if prop has tracking tag using AI

Below is a free classifier to identify if prop has tracking tag. Just upload your image, and our AI will predict if the property has a tracking tag - in just seconds.

if prop has tracking tag identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-prop-has-tracking-tag", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-prop-has-tracking-tag/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/if-prop-has-tracking-tag/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the property has a tracking tag.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Tagged and Untagged.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the property has a tracking tag).

Whether you're just curious or building if prop has tracking tag detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if prop has tracking tag at scale?

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



  • Ad Performance Analysis: By using the image classification function to determine whether advertisements have tracking tags, marketers can efficiently analyze the performance of different ad campaigns. This information can help businesses make data-driven decisions about future advertising strategies and optimize their return on investment.

  • E-Commerce Product Optimization: E-commerce platforms can employ the image classification function to ensure that product images include necessary tracking tags. This allows businesses to track customer interactions with products, enabling them to refine their offerings and enhance customer experience based on actual user behavior.

  • Compliance Monitoring: Companies can implement this function to ensure compliance with advertising regulations that require tracking tags on digital assets. By identifying tagged images, businesses can avoid legal pitfalls and maintain their reputation in the market.

  • Content Personalization: Media companies can utilize image classification to assess whether the content shared on their platforms has the appropriate tracking tags. This insight facilitates personalized content delivery based on user interactions, improving engagement and satisfaction rates.

  • Supply Chain Management: The function can be adapted for use in logistics, enabling companies to track the presence of tracking tags on shipping images. This can improve inventory management and streamline operations by ensuring that all packages are accounted for and properly monitored throughout the supply chain.

  • Digital Asset Management: Organizations can leverage the image classification function to manage their digital assets more effectively. By identifying images with tracking tags, businesses can organize assets according to their marketing utility and streamline their access for teams needing analytic insights.

  • Marketing Attribution Analysis: Brands can benefit from the function to trace customer journeys by confirming the presence of tracking tags on various marketing images. This will allow marketers to accurately attribute conversions to specific marketing efforts, enhancing overall marketing strategy and budget allocation.

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