Identify width of shed in feet using AI

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

width of shed in feet identifier

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 51 labels, including 1 Foot, 10 Feet, 11 Feet, 12 Feet, 13 Feet, 14 Feet, 15 Feet, 16 Feet, 17 Feet and 18 Feet.

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

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

Related Classifiers

Need to identify width of shed in feet at scale?

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



  • Shed Size Inventory Management: This use case involves using width classification to maintain an accurate inventory of various shed sizes at a manufacturing facility. By automating width measurement, the company can streamline stock management and quickly identify when specific sizes need to be produced or restocked.

  • Home Improvement Retail Optimization: Retail stores can implement false image classification to analyze customer queries and interests related to shed widths. By understanding which sizes are most frequently sought after, they can optimize floor space, customize inventory, and enhance product displays to boost sales.

  • Automated Quote Generation for Custom Sheds: A construction company could use image classification to assess the width of custom shed requests from client images. This enables rapid quote generation by instantly calculating material costs and labor based on the width, improving customer service and efficiency.

  • Insurance Assessment for Property Coverage: Insurance companies can utilize image classification to assess the width of sheds in homeowner coverage claims. Automating this process speeds up claims processing and reduces the risk of human error in physical assessments.

  • Local Government Zoning Compliance: Local government agencies could use this classification function to verify compliance with zoning laws regarding shed sizes. Automating the identification process could expedite permit approvals and ensure that structures meet regulatory standards.

  • Predictive Maintenance for Shed Structures: Companies managing rental properties with sheds can use image classification to monitor the width of sheds over time. This data allows for predictive maintenance strategies, ensuring that structures are within safe dimensions and promptly addressing any potential issues.

  • Supply Chain Optimization for Shed Manufacturing: Shed manufacturers could implement image classification in their supply chain to better align production with market demand for various widths. By analyzing trends in shed width popularity, they can optimize inventory levels and reduce waste from overproduction.

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