Identify bearer count
using AI
Below is a free classifier to identify bearer count. Just upload your image, and our AI will predict the number of people in different categories - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("bearer-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/bearer-count/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/bearer-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of people in different categories.
This pretrained image model uses a Nyckel-created dataset and has 9 labels, including Adult Bearer, Corporate Bearer, Dual Bearer, Family Bearer, Group Bearer, Joint Bearer, Multiple Bearers, Single Bearer and Single Minor Bearer.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of people in different categories).
Whether you're just curious or building bearer count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify bearer count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: This use case involves integrating the 'bearer count' identifier into quality control processes. By classifying images of products as true or false representations, manufacturers can ensure that only high-quality items are approved for distribution, thereby reducing returns and enhancing customer satisfaction.
- Fraud Detection in E-Commerce: E-commerce platforms can leverage the 'bearer count' identifier to identify and flag false images used in product listings. This helps prevent fraudulent sellers from deceiving customers with misleading images, ensuring a safer shopping environment and protecting brand integrity.
- Social Media Content Moderation: Social media companies can use the identifier to classify images uploaded by users, helping moderators quickly identify and filter out false or manipulated images. This automation streamlines the content moderation process, resulting in a healthier online community and reduced exposure to harmful content.
- Insurance Claim Verification: Insurance companies can deploy the 'bearer count' identifier to assess the authenticity of images submitted with claims. By filtering out false images, insurers can reduce fraudulent claims, ensuring that payouts are only made for legitimate incidents, ultimately saving costs.
- Autonomous Vehicle Navigation: In the context of autonomous vehicles, this identifier can be utilized to improve the perception system by classifying images of road signs and objects. Accurate classification reduces the likelihood of misinterpretations, enhancing safety and reliability in navigation.
- Art and Cultural Heritage Conservation: Institutions that manage art and cultural artifacts can apply the 'bearer count' identifier to assess the authenticity of images of items in their collections. This ensures proper cataloging and preservation while assisting in the authentication of works, helping to protect cultural heritage.
- Advertising Compliance Monitoring: Advertising agencies can use this identifier to ensure that images used in campaigns are genuine and comply with advertising standards. By identifying misleading or manipulated visuals, agencies can maintain ethical practices and avoid potential legal issues related to false advertising.