Identify basement finish condition using AI

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

basement finish condition identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("basement-finish-condition", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/basement-finish-condition/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/basement-finish-condition/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the condition of the basement finish..

This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Carpeted, Clean And Dry, Dark And Damp, Fully Finished, Modern Finish, Mold Present, Needs Repair, Newly Renovated, Partially Finished and Poor Condition.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of the basement finish.).

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

Need to identify basement finish condition at scale?

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



  • Real Estate Appraisal: The false image classification function can be used by appraisers to determine the finish condition of a basement when evaluating properties. By accurately identifying basement finishes from images, appraisers can provide more precise valuations, ensuring that property assessments reflect true market conditions.

  • Home Inspection Services: Home inspectors can leverage the function to streamline their inspection process. By analyzing images of basements, the tool can quickly flag areas that may require further inspection, allowing inspectors to focus on critical issues and provide more thorough reports to clients.

  • Insurance Underwriting: Insurance companies can utilize the classification function to assess the condition of basements in policy applications. By analyzing visual data, underwriters can make more informed decisions regarding risk assessments, potentially reducing claim costs related to basements with undisclosed issues.

  • Renovation Planning: Contractors can use this classification tool when bidding on renovation projects involving basements. By inputting images of the project site, they can receive insights on the current finish conditions, allowing for more accurate cost estimates and project timelines.

  • Property Management: Property management firms can employ the function to regularly assess the condition of basements in rental properties. By maintaining a database of images, they can monitor changes over time, ensuring that upkeep and repairs are addressed promptly, leading to higher tenant satisfaction.

  • Marketing for Home Sellers: Home sellers can leverage the tool to provide potential buyers with a clear understanding of the basement condition through visual assessments. By including these findings in marketing materials, sellers can highlight the quality and appeal of their properties, potentially increasing buyer interest.

  • Utility Services Inspection: Utility companies can use the false image classification function to examine basements for potential issues related to service connections and infrastructure. This allows them to proactively identify maintenance needs, reducing service interruptions and improving overall network reliability.

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