Identify if image has vignetting
using AI
Below is a free classifier to identify if image has vignetting. Just upload your image, and our AI will predict if the image has vignetting - 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("if-image-has-vignetting-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-has-vignetting-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/if-image-has-vignetting-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has vignetting.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including No Vignetting and Vignetting.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has vignetting).
Whether you're just curious or building if image has vignetting detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image has vignetting at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Photography Quality Control: This use case involves leveraging the vignetting identifier to assess the quality of images submitted by photographers. The function can automatically flag images with undesired vignetting effects, allowing editors to either request a reshoot or apply corrective measures before final approval.
- E-commerce Product Listings: E-commerce platforms can utilize the vignetting detection function to ensure product images maintain high visual standards. By identifying and filtering out images with excessive vignetting, businesses can enhance their product presentation and improve customer engagement.
- Social Media Content Moderation: Social media platforms can use this identifier to maintain a consistent aesthetic across user-generated content. By identifying images with vignetting, the platform can recommend editing tools or filters to users, thereby fostering a visually appealing feed.
- Automated Photo Editing Software: Photo editing applications can incorporate the vignetting detection functionality to provide users with automated correction suggestions. This feature helps novice editors enhance the quality of their images quickly by addressing common issues without manual adjustments.
- Printing Services Quality Assurance: Print service providers can utilize the vignetting identifier to ensure images meet acceptable quality thresholds before printing. This can reduce the occurrence of customer complaints regarding printed images and enhance overall satisfaction.
- Visual Content Analytics: Marketing teams can use the vignetting function to analyze image performance based on visual quality. By correlating vignetting with engagement metrics, they can refine their content strategy to favor images that attract more viewers.
- Training and Development in Photography: Educational platforms can integrate the vignetting identifier into training modules for photography students. This tool can help students learn about image composition and proper lighting techniques by providing feedback on their own submissions regarding vignetting issues.