Identify aerial views of gardens
using AI
Below is a free classifier to identify aerial views of gardens. Just upload your image, and our AI will predict if it's a garden or not - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("aerial-views-of-gardens", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/aerial-views-of-gardens/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-gardens/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's a garden or not.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Overgrown Gardens and Well Maintained Gardens.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a garden or not).
Whether you're just curious or building aerial views of gardens detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify aerial views of gardens at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Landscape Design Analysis: This application can assist landscape architects by providing insights into the existing layout of gardens as seen from above. By classifying garden types, designers can better understand spatial arrangements and vegetation patterns to inform their design proposals.
- Urban Planning & Development: City planners can utilize aerial image classification to assess green spaces in urban areas. By identifying and analyzing garden sizes and types, planners can make informed decisions about zoning regulations and community green initiatives.
- Environmental Monitoring: Environmental organizations can employ aerial classification to monitor the health and diversity of gardens and green spaces. This data can highlight changes in vegetation over time due to climate change, urbanization, or biodiversity loss, aiding conservation efforts.
- Real Estate Marketing: Real estate agents can use garden classification in aerial views to enhance property listings. By showcasing properties with well-designed gardens or landscaping, agents can attract more potential buyers looking for appealing outdoor spaces.
- Agricultural Research: Researchers in botany and agriculture can leverage this classification function to study patterns in urban gardening versus traditional agricultural practices. This data can provide insights on plant diversity and urban agriculture trends.
- Community Engagement: Local governments and NGOs can use aerial view classification to engage communities in gardening initiatives. By identifying existing gardens and potential sites for new ones, they can foster community involvement and promote local food production.
- Pest and Disease Management: Agricultural specialists can utilize aerial image classification of gardens to assess crop health and identify areas affected by pests or diseases. This information can lead to targeted interventions and ultimately improve garden productivity and sustainability.