Identify how many cars are in the parking lot
using AI
Below is a free classifier to identify how many cars are in the parking lot. Just upload your image, and our AI will predict how many cars are present in the parking lot - 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("how-many-cars-are-in-the-parking-lot", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/how-many-cars-are-in-the-parking-lot/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/how-many-cars-are-in-the-parking-lot/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict how many cars are present in the parking lot.
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including 0 Cars, 1 Car, 2 Cars, 3 Cars, 4 Cars, 5 Cars, 6 Cars, 7 Cars, 8 Cars and 9 Cars.
We'll also show a confidence score (the higher the number, the more confident the AI model is around how many cars are present in the parking lot).
Whether you're just curious or building how many cars are in the parking lot detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify how many cars are in the parking lot at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Parking Management: This function can be integrated into parking management systems to provide real-time data on vehicle occupancy. It allows managers to optimize space allocation and notify drivers of available spots, enhancing overall efficiency.
- Urban Traffic Analysis: City planners can use this classification function to analyze parking trends in urban areas. By understanding how many cars are parked at different times, they can make informed decisions on infrastructure improvements and traffic flow management.
- Event Venue Coordination: Event organizers can employ this technology to monitor parking availability during large events. By assessing the number of cars, they can implement strategies to manage overflow and ensure smooth attendee experiences.
- Electric Vehicle Charging Stations: This function can help monitor parking utilization at electric vehicle (EV) charging stations. By determining how many cars are parked, operators can better manage charging availability and encourage the efficient use of EV infrastructure.
- Retail Parking Optimization: Retail businesses can use this image classification to streamline their parking facilities. By analyzing parking data, they can adjust marketing strategies and promotions based on peak parking times to maximize customer footfall.
- Security Monitoring: Security teams can leverage this function to ensure that parking lots are being used safely and efficiently. By keeping track of vehicle counts, they can identify any unusual patterns that need further investigation.
- Transportation Reporting: Public transportation agencies can integrate this function to evaluate parking lot usage at transit hubs. Understanding car counts can help them plan transit schedules and offer more effective shuttle services based on parking demand.