Identify how many bus seats have students on them
using AI
Below is a free classifier to identify how many bus seats have students on them. Just upload your image, and our AI will predict how many bus seats have students on them - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("how-many-bus-seats-have-students-on-them", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/how-many-bus-seats-have-students-on-them/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-bus-seats-have-students-on-them/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict how many bus seats have students on them.
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including 0 Students, 1 Student, 2 Students, 3 Students, 4 Students, 5 Students, 6 Students, 7 Students, 8 Students and 9 Students.
We'll also show a confidence score (the higher the number, the more confident the AI model is around how many bus seats have students on them).
Whether you're just curious or building how many bus seats have students on them detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify how many bus seats have students on them at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Student Safety Monitoring: This function can be used to monitor the presence of students on bus seats in real-time, ensuring their safety during transport. By identifying whether students are seated properly, schools can take proactive measures to prevent accidents and discomfort.
- Capacity Planning: By analyzing the number of occupied seats in school buses, administrators can assess capacity and make informed decisions regarding transportation needs. This data can help optimize bus routes and schedules based on actual student ridership.
- Resource Allocation: School districts can utilize this image classification function to analyze peak usage times for buses and allocate resources effectively. Understanding when and where students typically ride can help in deploying the right number of buses and drivers.
- Behavior Analytics: With this function, schools can gain insights into student behavior on buses, such as seating arrangements and overcrowding incidents. This information can lead to better management of student behavior and improve overall bus etiquette.
- Parent Communication: Schools can use the data generated from this function to keep parents informed about their children's bus occupancy status. This transparent communication can alleviate parental concerns regarding student safety and transit efficiency.
- Bus Maintenance Planning: By tracking how many students are on buses at various times, maintenance teams can anticipate wear and tear on vehicles. This proactive approach can lead to improved vehicle maintenance schedules, ensuring bus safety and longevity.
- Incident Reporting: In the event of an incident on a school bus, this function can assist in reporting how many students were on board, which is crucial for emergency response. Accurate data about student presence can help ensure that all students are accounted for after any incidents.