Identify apartment residents count
using AI
Below is a free classifier to identify apartment residents count. Just upload your image, and our AI will predict the number of residents living in an apartment. - 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("apartment-residents-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/apartment-residents-count/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/apartment-residents-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of residents living in an apartment..
This pretrained image model uses a Nyckel-created dataset and has 10 labels, including 1-5, 101-200, 11-20, 201-300, 21-30, 301-500, 31-50, 501+, 51-100 and 6-10.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of residents living in an apartment.).
Whether you're just curious or building apartment residents count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify apartment residents count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Tenant Verification: This function can be employed by property management firms to verify the number of residents in an apartment. By comparing the identified count against lease agreements, property managers can ensure compliance with occupancy limits and reduce potential disputes.
- Utility Billing Accuracy: Apartment utilities are often billed based on occupancy levels. By identifying the resident count, property managers can calculate more accurate utility costs, ensuring fair billing for tenants based on actual usage, and potentially identifying unauthorized residents.
- Marketing Insights: Real estate marketers can use the resident count data to assess demographic trends in different apartment units. This information could help tailor marketing strategies and identify target audiences for specific property features or neighborhood attractions.
- Maintenance Scheduling: Knowing the number of residents in an apartment can assist maintenance teams in planning their services more effectively. Properties with higher occupancy may require more frequent maintenance of common areas and facilities, which can be monitored through this function.
- Safety and Emergency Planning: Property managers can use the resident count for emergency preparedness plans. In the event of a natural disaster or safety issue, knowing the accurate resident count allows for better emergency response and resource allocation.
- Lease Enforcement: This function can help enforce lease agreements regarding the maximum number of occupants allowed per apartment. By keeping track of resident counts, landlords can proactively address potential lease violations, ensuring adherence to occupancy regulations.
- Community Engagement: Identifying the number of residents can facilitate community engagement initiatives. Property managers can use this data to organize events and activities that cater to the interests and needs of residents, fostering a sense of community and improving tenant satisfaction.