Identify humanitarian flags
using AI
Below is a free classifier to identify humanitarian flags. Just upload your image, and our AI will predict what type of humanitarian 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("humanitarian-flags-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/humanitarian-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/humanitarian-flags-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of humanitarian flag it is.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Action Against Hunger, Amnesty International, Care International, Child Fund, Concern Worldwide, Doctors Without Borders, Feed The Children, Global Giving, Heifer International and Human Rights Watch.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of humanitarian flag it is).
Whether you're just curious or building humanitarian flags detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify humanitarian flags at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Emergency Response Verification: Humanitarian organizations can utilize the 'humanitarian flags' identifier to verify the legitimacy of distress signals from affected areas. This can help ensure that resources are directed to genuine crises, reducing the risk of scams or misinformation.
- Fraud Detection in Donations: Charitable platforms can implement the identifier to screen organizations and campaigns for fraudulent activity. By filtering out false representations of humanitarian actions, platforms can protect donors and maintain trust in the donation process.
- Social Media Monitoring: Social media platforms can use the identifier to detect and mitigate the spread of false humanitarian claims or images. This enables them to uphold community guidelines and support genuine causes while removing misleading content.
- Aid Distribution Management: NGOs can adopt the identifier to assess the credibility of images and reports generated from the field. This assists in monitoring and validating the distribution of aid, ensuring that resources reach those who truly need them.
- Media Integrity Assurance: News organizations can deploy the identifier to fact-check images appearing in humanitarian reporting. This ensures that the media can maintain credibility by avoiding the dissemination of invalid images that misrepresent humanitarian situations.
- Academic Research Enhancement: Researchers studying humanitarian crises can utilize the identifier to sift through vast amounts of visual data. By filtering out false images, scholars can focus on authentic materials, leading to more accurate analyses of humanitarian impacts.
- Government Accountability: Government agencies can leverage the identifier to ensure that public reports of crises are supported by legitimate imagery. This can enhance transparency and hold entities accountable for the authenticity of their humanitarian claims, fostering public trust.