Identify aerial views of universities
using AI
Below is a free classifier to identify aerial views of universities. Just upload your image, and our AI will predict if the aerial view represents a university or not - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("aerial-views-of-universities", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/aerial-views-of-universities/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-universities/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the aerial view represents a university or not.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Campus Buildings and Sports Fields.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the aerial view represents a university or not).
Whether you're just curious or building aerial views of universities detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify aerial views of universities at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Campus Safety Monitoring: This use case involves using aerial image classification to automatically identify different areas of university campuses. By recognizing features like parking lots, residence halls, and athletic fields, universities can enhance safety measures and monitor crowd density during events.
- Infrastructure Planning: Aerial views can be analyzed to identify structural changes over time and assess the condition of campus facilities. This information aids university planners in making informed decisions on maintenance, renovations, and new construction projects.
- Environmental Sustainability Initiatives: The classification of aerial imagery can assist universities in tracking vegetation and green spaces on campus. This data can support sustainability initiatives, like reforestation efforts and biodiversity studies, while contributing to carbon footprint assessments.
- Marketing and Recruitment: Universities can leverage classified aerial images in promotional materials to showcase campus beauty and amenities. Engaging visuals can enhance recruitment strategies and attract prospective students by providing an appealing representation of the campus environment.
- Event Planning and Management: Aerial image classification can be used to assess areas suitable for large events. By identifying open spaces and pathways, university event planners can optimize layout and logistics for occasions like festivals, graduations, and orientations.
- Land Use Analysis: By classifying different land uses within a university's aerial view, institutions can evaluate the effectiveness of space allocation. This analysis allows for better utilization of land, ensuring that academic, recreational, and administrative needs are met efficiently.
- Alumni Engagement and Fundraising: Aerial views can provide a unique perspective on campus growth and changes over time, which can be utilized in outreach to alumni. Showcasing advancements and campus improvements through visual storytelling can enhance engagement and encourage alumni donations.