Identify landmark using AI

Below is a free classifier to identify landmark. Just upload your image, and our AI will predict which landmark it is - in just seconds.

landmark identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("landmark-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/landmark-identifier/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/landmark-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict which landmark it is.

This pretrained image model uses a Nyckel-created dataset and has 50 labels, including Taj Mahal and Eiffel Tower.

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

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

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Need to identify landmark at scale?

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



  • Travel Agency Application: An online travel agency can implement this function to help users search for vacation packages. Users can upload an image of a landmark, and the system will return packaged deals related to the location.

  • Social Media Enhancement: Social media platforms can integrate this technology to automatically tag and categorize user photos. The system will identify the landmark in the photo and create searchable tags, making it easier for users to discover related content.

  • Heritage Building Preservation: Non-profit organizations that work to preserve and document historical landmarks could use the system to automatically recognize and identify landmarks in submitted photos. This could streamline their documentation and archive process considerably.

  • Online Learning Resources: Educational platforms could use this function in their geography or history courses. Students could upload photos of landmarks to the system as part of their interactive learning tasks.

  • Digital Tourism: Virtual tour apps could implement this function to provide users more information about a landmark they see in the app. This enhances the user’s experience by providing them with educational content based on object recognition.

  • Real Estate Valuation: Real estate businesses could use the function to identify whether a property is near a world-famous landmark, automatically enhancing property description and price evaluation.

  • Content Recommendation in Travel Blogs: Travel bloggers or travel content websites could use this landmark identifier function to automatically provide content recommendations based on landmarks in users images, improving website engagement and user experience.

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