Identify blurry image
using AI
Below is a free classifier to identify blurry image. Just upload your image, and our AI will predict if it's blurry or not. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("blurry-image-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/blurry-image-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/blurry-image-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's blurry or not..
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Blurry and Not Blurry.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's blurry or not.).
Whether you're just curious or building blurry image detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify blurry image at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Networks: Auto-flag images as not up to your image quality standards.
- Photography Services: Automatically sort out blurry images from photo shoots, saving time in post-processing.
- Real Estate Platforms: Ensure property photos are clear, contributing to higher engagement on listings.
- Online Retail: Check product images for blurriness before uploading to maintain high-quality online catalog visuals.
- Document Management Services: Detect blurry scans in document digitization processes to guarantee readability.
- Medical Imaging: Flag potentially unclear images for review, supporting accurate diagnoses.
- Automated Surveillance Systems: Filter out blurry images to improve the reliability of visual data analysis.