Identify aerial views of buildings using AI

Below is a free classifier to identify aerial views of buildings. Just upload your image, and our AI will predict if the aerial view shows a building or not - in just seconds.

aerial views of buildings identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("aerial-views-of-buildings", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/aerial-views-of-buildings/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/aerial-views-of-buildings/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the aerial view shows a building or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Natural Surroundings and Urban Environment.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the aerial view shows a building or not).

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

Recommended Classifiers

Need to identify aerial views of buildings at scale?

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



  • Urban Planning: Municipalities can utilize aerial image classification to assess building types and their density in urban areas. This information can aid in the development of zoning regulations and infrastructure planning.

  • Real Estate Analysis: Real estate companies can analyze aerial views to identify property types and their conditions for comparative market analysis. The classification can help investors make informed decisions by understanding property distributions and market trends.

  • Disaster Response: Emergency management agencies can classify buildings from aerial images post-disaster to quickly assess damage levels and prioritize relief efforts. This functionality supports faster deployment of resources to affected areas.

  • Environmental Monitoring: Conservation organizations can use aerial image classification to track changes in building development affecting natural habitats. This approach can help formulate policies to protect critical ecological regions from urban sprawl.

  • Asset Management: Property management firms can leverage aerial views to classify their portfolios and efficiently manage maintenance schedules. Identifying building types enables targeted maintenance and resource allocation based on structural needs.

  • Insurance Risk Assessment: Insurance companies can classify buildings in aerial images to evaluate risk profiles for various types of properties. This classification aids in determining insurance premiums and coverage areas based on property characteristics.

  • Smart City Initiatives: Cities embracing smart technology can use aerial image classification to optimize services like waste collection and traffic management. Understanding building types and their locations can facilitate better resource deployment and urban mobility plans.

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