Identify blur type
using AI
Below is a free classifier to identify blur type. Just upload your image, and our AI will predict the type of blur present in the image. - 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("blur-type-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/blur-type-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/blur-type-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of blur present in the image..
This pretrained image model uses a Nyckel-created dataset and has 14 labels, including Bokeh Blur, Camera Shake Blur, Channel Blur, Depth Of Field Blur, Focus Blur, Gaussian Blur, Lens Blur, Motion Blur, Overlay Blur and Pixelation Blur.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of blur present in the image.).
Whether you're just curious or building blur type detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify blur type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Image Quality Assessment: This use case involves utilizing the blur type identifier to assess the quality of images captured by cameras in various settings. By categorizing images into types of blur, businesses can determine if an image is acceptable for use or requires reshooting, ensuring high-quality content.
- Security Footage Review: In security and surveillance industries, the ability to identify the type of blur in images can help in the forensic analysis of video footage. Detectives can focus their investigation on images with specific blur characteristics to determine the likelihood of tampering or motion-based distortions.
- Digital Asset Management: Media companies can employ the blur type identifier to automate the organization of visual assets in their libraries. By tagging images with specific blur types, teams can quickly search and retrieve images based on clarity needs, enhancing content curation and retrieval processes.
- Photography Editing Software: Photo-editing applications can integrate the blur type identifier to provide tailored suggestions for users looking to correct image issues. By quickly identifying the blur type, the software can recommend specific filters or adjustments to enhance image clarity efficiently.
- Autonomous Vehicle Imaging: In the development of autonomous vehicles, the blur type identifier can assist in the interpretation of real-time camera feeds. By detecting and classifying blur types, the system can determine areas of poor visibility and adjust vehicle navigation and safety protocols accordingly.
- Healthcare Imaging Analysis: In medical imaging, the ability to classify blur types can significantly improve diagnostic accuracy. Radiologists can quickly identify compromised images due to motion or focus blur, deciding whether to redo scans or apply specific diagnostic protocols based on image quality.
- Social Media Filters and Effects: Social media platforms can leverage the blur type identifier to enhance user-generated content by applying appropriate filters based on blur classification. This feature would allow users to intentionally stylize images, enhancing user engagement and creativity within the platform.