Identify if image has out of focus blur
using AI
Below is a free classifier to identify if image has out of focus blur. Just upload your image, and our AI will predict if the image has out of focus blur - 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-out-of-focus-blur-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-has-out-of-focus-blur-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-out-of-focus-blur-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has out of focus blur.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Focus Blur and In Focus.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has out of focus blur).
Whether you're just curious or building if image has out of focus blur detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image has out of focus blur at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Photography: This function can be used by photography studios to automatically filter out images that are out of focus before they are reviewed by editors. It allows studios to save time and resources by ensuring only high-quality images are processed for final production.
- E-commerce Image Verification: E-commerce platforms can utilize this function to ensure that product images uploaded by sellers meet quality standards. By flagging out-of-focus images, the platform can prompt sellers to resubmit clearer, more appealing product photos, ultimately enhancing customer trust and sales.
- Automated Graphic Design: Design software can integrate this image classification function to evaluate user-uploaded images for clarity. If an image is found to be out-of-focus, the software can suggest alternatives or adjustments, helping users create polished designs more efficiently.
- Social Media Content Moderation: Social media platforms could employ this technology to identify and moderate user-generated content that lacks visual quality. By filtering out blurry images, the platform can enhance the overall aesthetic of user feeds, improving user engagement and satisfaction.
- Healthcare Imaging Analysis: In medical imaging, this classifier can be crucial for ensuring that diagnostic images (like X-rays or MRIs) are clear and focused before analysis. It helps healthcare providers avoid misdiagnosis due to poor image quality, ultimately improving patient care.
- Security Surveillance Enhancement: Security firms can utilize this function to assess the quality of surveillance footage in real-time. By identifying out-of-focus frames, they can trigger automatic adjustments to cameras or notify operators to enhance the clarity, ensuring better security outcomes.
- Smartphone Camera Apps: Mobile camera applications can incorporate this feature to inform users when their photos are out of focus. Providing real-time feedback will help users take better pictures instantly, increasing satisfaction with the app and encouraging social sharing of high-quality images.