Identify if newspaper is facing up
using AI
Below is a free classifier to identify if newspaper is facing up. Just upload your image, and our AI will predict if the newspaper is facing up - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-newspaper-is-facing-up", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-newspaper-is-facing-up/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/if-newspaper-is-facing-up/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the newspaper is facing up.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Newspaper Facing Down and Newspaper Facing Up.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the newspaper is facing up).
Whether you're just curious or building if newspaper is facing up detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if newspaper is facing up at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Newspaper Delivery Confirmation: This function can be leveraged by delivery services to confirm that the newspaper is placed facing up at the customer's doorstep. By utilizing image classification, companies can ensure proper delivery standards and enhance customer satisfaction.
- Digital Archiving: Libraries and archive services can use this function to verify and catalog newspapers in digital collections, ensuring that each scanned document is correctly oriented. This improves the efficiency of digitization processes and makes it easier for users to access properly displayed content.
- Automated Clean-up for Historical Data: Media organizations can implement this function to automate the process of sorting and organizing archival photographs of newspapers. By identifying the orientation of each image, users can streamline the archival process and make historical data more accessible.
- Front Page Highlighting: News applications can integrate this function to highlight the front page of the newspaper when users browse through digital versions. This would ensure that users always see the most relevant and correctly oriented information at a glance, enhancing user experience.
- Quality Control in Printing: Printing houses can implement this feature in their quality control processes to ensure each printed batch of newspapers is produced with content facing the right direction. This minimizes waste and increases efficiency in the production line.
- Advertising Optimization: Marketing teams can utilize this function to identify whether advertisements in printed newspapers are displayed correctly when captured for analysis. This data can help optimize future ad placements and ensure brand messages are effectively communicated.
- User-Generated Content Verification: Platforms that allow users to upload images of newspaper clippings can employ this function to verify that the clippings are submitted in the correct orientation. This ensures that content submitted by users is consistent and enhances the quality of user-generated contributions.