Identify library flags
using AI
Below is a free classifier to identify library flags. Just upload your image, and our AI will predict what type of library flag it is - 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("library-flags-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/library-flags-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/library-flags-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of library flag it is.
This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Bodleian Library, British Library, Frankfurt University Library, Harvard University Library, Internet Archive, Library And Archives Canada, Library Of Congress, Library Of Parliament Of Canada, Library Of The University Of Cambridge and Library Of The University Of Oxford.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of library flag it is).
Whether you're just curious or building library flags detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify library flags at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection in E-Commerce: The library flags identifier can help e-commerce platforms identify fraudulent product listings or images that do not match the advertised items. By pinpointing discrepancies between the images and the product descriptions, companies can reduce the risk of consumer deception and enhance trust.
- Content Moderation on Social Media: Social media platforms can implement the library flags identifier to detect and remove misleading or false images shared by users. This would help maintain a safe online environment while preventing the spread of misinformation and harmful content.
- Medical Imaging Verification: Healthcare providers can utilize the library flags identifier to ensure that medical images (like X-rays or MRIs) being analyzed are authentic and not tampered with. This capability enhances the reliability of diagnoses and treatment plans based on visual data.
- Historical Document Preservation: Institutions that deal with historical documents and artifacts can use the library flags identifier to authenticate images of their collections. This can protect against the circulation of forged or edited images and preserve the integrity of historical records.
- Advertising Compliance Checks: Companies can leverage the library flags identifier to verify that marketing images used in advertisements comply with legal and ethical standards. This ensures that misleading or false representations are flagged before hitting the market, minimizing potential liabilities.
- Intellectual Property Protection: Businesses can employ the library flags identifier to monitor and detect unauthorized use or manipulation of their copyrighted images online. This proactive measure can support legal actions against copyright infringement and protect brand integrity.
- Academic Research Validation: Researchers can use the library flags identifier to ensure the integrity of images used in scholarly publications. By verifying the authenticity of images, this function can uphold the credibility of academic work and discourage the use of manipulated data.