Identify whether a book is open
using AI
Below is a free classifier to identify whether a book is open. Just upload your image, and our AI will predict if the book is open or closed - 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("whether-a-book-is-open-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/whether-a-book-is-open-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-a-book-is-open-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the book is open or closed.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Book Open and Book Closed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the book is open or closed).
Whether you're just curious or building whether a book is open detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify whether a book is open at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Library Management System: A library can utilize the 'whether a book is open' identifier to track the usage of books in real-time. This data can help in managing inventory, understanding popular titles, and optimizing shelf space.
- Digital Reading Analytics: E-book platforms can integrate this function to analyze user engagement. By determining if users frequently leave books open, platforms can recommend similar titles or improve content based on reading habits.
- Interactive Learning Environments: Educational institutions can implement this feature in classrooms to monitor whether students are actively engaged with materials. This information can help educators tailor their teaching strategies when students are less likely to have their books opened.
- Retail Inventory Management: Retailers can apply this classification in physical bookstores to monitor which books are frequently browsed. Understanding which titles are left open can inform restocking strategies and promotional placements.
- Automated Book Recommendations: Online platforms can use this identifier to enhance recommendation engines. By analyzing the time books are left open, they can suggest additional titles based on user interests and preferences, improving cross-selling opportunities.
- Virtual Reality Experiences: In VR applications for education or storytelling, this classification can identify whether users are interacting with content appropriately. By determining if a virtual book is ‘open’, developers can trigger certain actions or hints for a more immersive experience.
- E-Library User Behavior Tracking: Public or private e-libraries can implement this functionality to analyze how often different sections or genres are being accessed. This insight can lead to better resource allocation and more targeted outreach for underutilized materials.