Identify if image has lens blur
using AI
Below is a free classifier to identify if image has lens blur. Just upload your image, and our AI will predict if the image has lens 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-lens-blur-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-has-lens-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-lens-blur-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has lens blur.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Lens Blur and No Lens Blur.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has lens blur).
Whether you're just curious or building if image has lens blur detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image has lens 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 utilized by professional photography businesses to automatically flag images that exhibit lens blur. By identifying blurred images, photographers can quickly sort and edit out subpar photos, ensuring a higher quality portfolio and enhancing client satisfaction.
- E-commerce Product Listing: E-commerce platforms can integrate this image classification function to evaluate product images uploaded by sellers. By detecting lens blur, the system can prompt sellers to upload clearer images, which can lead to better customer experiences and increased sales.
- Social Media Image Optimization: Social media applications can use this function to analyze user-uploaded images before they go live. By automatically identifying and filtering out blurred images, platforms can help maintain a high standard of visual content, fostering user engagement and satisfaction.
- Medical Imaging Analysis: In the healthcare sector, this function can assist in the analysis of medical images captured by imaging devices. Identifying lens blur can alert technicians to retake critical diagnostic images, ensuring that healthcare professionals work with the most accurate and clear visuals for patient assessment.
- Automated Content Moderation: Content moderation tools can leverage this classification to enhance user-generated content oversight. By screening images for lens blur, platforms can maintain high-quality visual standards and reduce the risk of user dissatisfaction caused by unclear images.
- Educational Multimedia Evaluation: Educational institutions can apply this function to review multimedia submissions from students. By identifying and flagging lens-blurred images in projects or presentations, educators can provide constructive feedback and promote better visual communication skills among students.
- Virtual Reality Content Development: Developers of virtual reality content can implement this image classification to ensure the quality of photos and textures used in immersive environments. By filtering out blurry images, creators can enhance the overall user experience, making virtual spaces more realistic and engaging.