Identify height of house in feet using AI

Below is a free classifier to identify height of house in feet. Just upload your image, and our AI will predict the height of the house in feet - in just seconds.

height of house in feet identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("height-of-house-in-feet", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/height-of-house-in-feet/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/height-of-house-in-feet/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the height of the house in feet.

This pretrained image model uses a Nyckel-created dataset and has 12 labels, including 1-5 Feet, 10-15 Feet, 15-20 Feet, 20-25 Feet, 25-30 Feet, 30-35 Feet, 35-40 Feet, 40-45 Feet, 45-50 Feet and 5-10 Feet.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the height of the house in feet).

Whether you're just curious or building height of house in feet detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify height of house in feet at scale?

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



  • Real Estate Property Valuation: The false image classification function can assist appraisers in accurately valuing residential properties by automatically identifying the height of houses in feet. This feature allows for more precise assessments of property worth based on height-related factors such as zoning regulations and neighborhood characteristics.

  • Urban Planning and Development: City planners can leverage this function to gather data on residential building heights across different areas. This information can help in making informed decisions about infrastructure development, zoning laws, and community aesthetics.

  • Insurance Assessment: Insurance companies can utilize the function to assess risk associated with certain properties by identifying their heights. Taller houses may have different risk profiles in terms of storm damage, which can influence policy premiums and coverage options.

  • Home Improvement and Construction: Contractors and builders can use this classification to streamline project estimations by confirming the heights of existing structures before renovations or expansions. This can lead to more accurate project planning and reduced material waste.

  • Environmental Impact Studies: Researchers conducting environmental studies can incorporate the height identification function to evaluate the implications of building heights on local ecosystems. This can help in assessing factors such as wind flow, sunlight access, and rain runoff.

  • Property Marketing: Real estate agents can enhance their property marketing strategies by using this function to provide potential buyers with comprehensive visual information about house heights. This data can improve listings by highlighting unique architectural features or potential renovation ideas.

  • Local Government Compliance Monitoring: Local governments can employ this classification to ensure compliance with building codes and height restrictions within certain zones. By automating the identification process, authorities can monitor and manage construction projects more effectively.

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