Identify badge photo quality
using AI
Below is a free classifier to identify badge photo quality. Just upload your image, and our AI will predict the quality of your badge photo - 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("badge-photo-quality", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/badge-photo-quality/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/badge-photo-quality/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the quality of your badge photo.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Acceptable, Artificial, Blurry, Clear, Dark, Detailed, Distorted, Excellent, Fair and Focused.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the quality of your badge photo).
Whether you're just curious or building badge photo quality detection into your application, we hope our classifier proves helpful.
Need to identify badge photo quality at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Enhanced ID Verification: This function can be implemented in security systems to assess the quality of badge photos. By ensuring that images meet specific quality standards, organizations can improve the accuracy of identity verification processes during access control.
- Fraud Prevention in Events: Event organizers can use the badge photo quality identifier to filter out low-quality images. This prevents fraudulent registrations by ensuring that all attendees have legitimate and recognizable identification badges.
- Recruitment Process Optimization: Human resources departments can leverage this function to validate employee photos on badges. By ensuring only high-quality images are used, it helps maintain a professional appearance and consistency in employee identification.
- Compliance with Branding Standards: Companies can deploy the badge photo quality identifier to ensure that employee photos adhere to branding guidelines. This ensures uniformity in appearance and enhances the organization's professional image throughout all internal and external communications.
- Quality Control in Photo Submissions: Online platforms that require users to upload identification badges can use this function to automatically assess image quality. This reduces the administrative burden associated with manually reviewing submissions and ensures that only suitable images are processed.
- Security Training Simulations: In training scenarios for security personnel, integrating the badge photo quality identifier can help educate staff on recognizing valid badges. This enhances their skills in identifying potential fraud and maintaining high security standards in their operations.
- Improved Customer Experience: Organizations can utilize this identifier in customer service departments to quickly assess badge photo quality. By ensuring that customer identification is clear and identifiable, service representatives can provide faster and more accurate assistance to clients.