Identify aerial views of parking lots using AI

Below is a free classifier to identify aerial views of parking lots. Just upload your image, and our AI will predict if a parking lot is full or empty - in just seconds.

aerial views of parking lots identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict if a parking lot is full or empty.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Busy Parking Lot and Empty Parking Lot.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if a parking lot is full or empty).

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

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Need to identify aerial views of parking lots at scale?

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



  • Parking Space Availability Monitoring: Utilize the aerial view classification to identify available parking spaces in real-time. This information can be integrated into mobile applications, allowing drivers to locate and reserve parking spots efficiently.

  • Urban Planning Analysis: City planners can leverage this function to assess parking lot usage across urban environments. By analyzing occupancy trends, cities can make informed decisions on parking infrastructure, zoning regulations, and potential expansions.

  • Retail Business Insights: Retailers can use aerial classification to determine the parking lot usage patterns of their locations. This data helps in understanding customer traffic and can influence marketing strategies and store hours.

  • Parking Lot Security Monitoring: Aerial images can be assessed for unusual activity or security breaches in parking lots. The identification of occupied versus empty spaces can aid security personnel in monitoring and managing safety concerns more effectively.

  • Electric Vehicle Charging Station Planning: Businesses or municipalities can use parking lot classifications to locate optimal spaces for electric vehicle charging stations based on demand and availability. Identifying underutilized areas can enhance service deployment.

  • Event Management Efficiency: During large events, aerial views can help managers identify parking lot capacity and peak usage times. This can enhance the experience for attendees by directing traffic flow and reducing congestion during peak entry and exit periods.

  • Environmental Impact Assessments: Environmental studies can use aerial parking lot classifications to evaluate the impact of parking facilities on surrounding ecosystems. This data can help in formulating strategies for reducing impervious surfaces and improving green space integration.

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