Identify supra generation
using AI
Below is a free classifier to identify supra generation. Just upload your image, and our AI will predict the age group of a person based on their facial features - 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("supra-generation", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/supra-generation/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/supra-generation/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the age group of a person based on their facial features.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Mk1, Mk10, Mk11, Mk12, Mk13, Mk14, Mk15, Mk16, Mk17 and Mk18.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the age group of a person based on their facial features).
Whether you're just curious or building supra generation detection into your application, we hope our classifier proves helpful.
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Need to identify supra generation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection in E-Commerce: The 'supra generation' identifier can be used to identify counterfeit products listed on e-commerce platforms. By analyzing images of products, it can flag items that do not match the original branding, helping platforms maintain quality control and consumer trust.
- Social Media Content Moderation: This function can assist social media platforms in automatically detecting and classifying misleading or altered images. By filtering out fake or manipulated visuals before they are posted, platforms can improve user experience and reduce misinformation.
- Authenticating Collectibles and Artworks: Auction houses and collectors can leverage the identifier to determine the authenticity of rare items such as art, antiques, and collectibles. By analyzing images against known authentic items, businesses can help verify provenance and reduce the risk of fraud.
- Brand Protection: Brands can utilize the identifier to monitor unauthorized use or imitation of their logos and imagery online. This allows companies to take swift action against counterfeiters and protect their intellectual property in the digital landscape.
- AI-Enhanced Security Systems: Security firms can integrate the identifier into their surveillance systems to detect potentially altered or fraudulent images captured by CCTV or other cameras. This would enhance the accuracy of threat detection and improve overall security measures.
- Journalism and News Verification: News organizations can deploy the image classification function to verify the authenticity of images before publishing them. This ensures that the news being reported is based on truth and reliability, thereby enhancing journalistic integrity.
- Educational Content Assessment: Educational platforms can use the identifier to assess the credibility of images used in instructional materials. By ensuring images are genuine and correctly used, educators can foster a more trustworthy learning environment for students.