Identify classroom subjects
using AI
Below is a free classifier to identify classroom subjects. Just upload your image, and our AI will predict what classroom subject it represents - 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("classroom-subjects-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/classroom-subjects-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/classroom-subjects-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what classroom subject it represents.
This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Mathematics and Science.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what classroom subject it represents).
Whether you're just curious or building classroom subjects detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify classroom subjects at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Curriculum Development: Educators can utilize the multilabel image classification function to analyze images of classroom materials, identifying relevant subjects to enhance curriculum design. By understanding which subjects are commonly associated with specific images, teachers can tailor their resources to better meet educational goals.
- Educational Content Curation: Digital content platforms can implement this function to categorize and organize educational images based on classroom subjects. This will enable users to easily search for and access subject-specific resources, improving the overall user experience and resource discoverability.
- Learning Analytics: Schools can leverage the identification of classroom subjects from images submitted by students as part of their assignments. By analyzing the subjects associated with student submissions, educators can gain insights into student engagement across different disciplines, allowing for more targeted instruction.
- In-Class Engagement Tools: Educators can use this technology to create interactive classroom experiences. For example, by integrating the image classification function into classroom activities, teachers can engage students by prompting them to classify images related to various subjects in real-time.
- Mobile Learning Applications: Educational apps can enhance their features by incorporating this multilabel image classification to help users identify subjects related to images they encounter. This could foster a more immersive learning experience, encouraging users to explore new areas of knowledge based on their interests.
- Remote Learning Enhancements: During online classes, instructors can utilize the classification system to analyze student-uploaded images from their home learning environment. This information can help educators understand the resources students have access to, enabling them to adjust lesson plans to better fit individual learning contexts.
- Subject-Specific Recommendations: E-commerce platforms specializing in educational materials can use this functionality to recommend products based on identified classroom subjects from user-uploaded images. This targeted approach can improve sales conversion rates by suggesting relevant items that users are more likely to be interested in.