Identify whether teacher is at a chalkboard
using AI
Below is a free classifier to identify whether teacher is at a chalkboard. Just upload your image, and our AI will predict if the teacher is at a chalkboard - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("whether-teacher-is-at-a-chalkboard-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/whether-teacher-is-at-a-chalkboard-identifier/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/whether-teacher-is-at-a-chalkboard-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the teacher is at a chalkboard.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Teacher At Chalkboard and Teacher Not At Chalkboard.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the teacher is at a chalkboard).
Whether you're just curious or building whether teacher is at a chalkboard detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify whether teacher is at a chalkboard at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Classroom Monitoring: This use case involves the real-time identification of teachers present at the chalkboard during lessons. It can help school administrators ensure that teachers are engaging with students effectively and can help in evaluating teaching practices.
- Attendance Tracking: The binary classification function can be employed to automate attendance records in classrooms. By identifying when a teacher is at the chalkboard, schools can track presence and ensure accountability in teacher attendance.
- Engagement Analysis: This use case leverages the functionality to analyze student engagement during classroom interactions. By understanding when teachers are actively teaching at the chalkboard, educators can reflect on student participation and adjust their instructional techniques accordingly.
- Distance Learning Support: In a hybrid or distance learning environment, this system can be integrated into virtual classrooms to determine when teachers are presenting content via a chalkboard or similar setup. This can help in generating analytics about teaching habits and ensuring consistent quality of education.
- Resource Allocation: School administrators can utilize this function for optimizing resource allocation by identifying peak chalkboard usage times. Understanding when teachers are actively using the chalkboard can inform decisions regarding class schedules and technology distribution.
- Classroom Behavior Monitoring: The identifier can assist in evaluating classroom dynamics by tracking teacher interactions at the chalkboard. This data can be valuable for identifying trends in classroom behavior and informing behavioral management strategies.
- Professional Development: Schools can leverage insights from this classification function to tailor professional development programs for teachers. By assessing how often teachers engage at the chalkboard, targeted support can be offered to enhance teaching strategies and methodologies.