Identify aerial views of housing developments using AI

Below is a free classifier to identify aerial views of housing developments. Just upload your image, and our AI will predict if a housing development is likely to be successful or not - in just seconds.

aerial views of housing developments identifier

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if a housing development is likely to be successful or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Rural Housing and Urban Housing.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if a housing development is likely to be successful or not).

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

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Need to identify aerial views of housing developments at scale?

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



  • Urban Planning Optimization: This function can assist urban planners in analyzing housing development patterns from aerial views. By identifying different types of housing, planners can make more informed decisions regarding zoning, infrastructure, and resource allocation.

  • Real Estate Market Analysis: Real estate firms can leverage this technology to obtain insights into housing density and development trends. It can help identify emerging markets for investment and guide strategic decisions based on the classification of various housing developments.

  • Environmental Impact Assessment: Environmental agencies can use aerial image classification to assess the ecological footprint of housing developments. By identifying areas of high density and mixed-use developments, they can better evaluate sustainable practices and conservation efforts.

  • Disaster Management and Response: In the event of natural disasters, this function can identify affected housing developments and assess damage levels. This information assists emergency response teams in prioritizing their actions and effectively allocating resources.

  • Infrastructure Development Planning: Utility companies can utilize aerial image classification to identify the locations of housing developments that require infrastructure upgrades. This analysis helps in planning expansion for essential services like electricity, water, and waste management.

  • Market Research for Developers: Housing developers can analyze aerial views to understand residential patterns and target specific demographics. By classifying developments, they can optimize new projects to align with community needs and preferences.

  • Smart City Initiatives: Smart city planners can use this technology to integrate housing developments into their digital frameworks. By classifying aerial images, they can facilitate data-driven decision-making that enhances urban living and promotes efficient resource management.

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