Identify number of skyscrapers
using AI
Below is a free classifier to identify number of skyscrapers. Just upload your image, and our AI will predict the number of skyscrapers in the image. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("number-of-skyscrapers", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/number-of-skyscrapers/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/number-of-skyscrapers/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of skyscrapers in the image..
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including 0 Skyscrapers, 1 Skyscraper, 10 Skyscrapers, 11 Skyscrapers, 12 Skyscrapers, 13 Skyscrapers, 14 Skyscrapers, 15 Skyscrapers, 16 Skyscrapers and 17 Skyscrapers.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of skyscrapers in the image.).
Whether you're just curious or building number of skyscrapers detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify number of skyscrapers at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Urban Planning Analysis: The 'number of skyscrapers' identifier can assist urban planners in analyzing the density of high-rise buildings in a specific area. This information can help in making informed decisions about infrastructure development, zoning regulations, and resource allocation to manage urban growth effectively.
- Real Estate Market Assessment: Real estate agencies can leverage the function to evaluate the prominence of skyscrapers in a region, helping buyers and investors gauge the potential value of properties. The data can also reveal market trends related to luxury living or commercial space demand, aiding strategic investment decisions.
- Tourism Promotion: Tourism boards can use the skyscraper data to design city tours and marketing campaigns that highlight the architectural significance and skyline features of a region. By targeting areas with a high concentration of skyscrapers, they can attract more visitors interested in urban exploration and photography.
- Environmental Impact Studies: Researchers can utilize the skyscraper identification function to study the ecological impacts of high-rise buildings on local environments. This can lead to further investigations into urban heat islands, green space availability, and overall ecological health in metropolitan areas.
- Infrastructure Development: Construction firms can use the data to identify areas where new skyscrapers might be feasible or beneficial. This information allows them to strategically plan new projects while considering the existing skyline and infrastructure capabilities, such as transportation and utilities.
- Property Insurance Assessment: Insurance companies can leverage skyscraper data to assess risk factors associated with structural coverage. Areas with numerous tall buildings might require different insurance policies due to increased risk of natural disasters or structural failures, thus refining their risk assessment processes.
- Smart City Development: City authorities can integrate skyscraper data into smart city initiatives, using it to enhance services such as energy management and waste disposal. By understanding skyscraper distributions, cities can improve resource allocation and ensure that urban solutions are tailored to high-density areas.