Identify if image has depth of field blur
using AI
Below is a free classifier to identify if image has depth of field blur. Just upload your image, and our AI will predict if the image has depth of field 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-depth-of-field-blur-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-has-depth-of-field-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-depth-of-field-blur-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has depth of field blur.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Depth Blur and Uniform Focus.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has depth of field blur).
Whether you're just curious or building if image has depth of field blur detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image has depth of field blur at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Photography Quality Control: This function can be utilized in professional photography studios to automatically identify images with depth of field blur. By filtering out inappropriate images, photographers can save time during the editing process and focus on selecting the best shots for client delivery.
- Image Editing Software Enhancement: Photo editing applications can integrate this function to help users sort through their images. Users can prioritize or isolate images with desirable depth of field blur effects for targeted editing, facilitating a more streamlined workflow.
- Social Media Optimization: Social media platforms can employ this image classification to enhance user experience by recommending or auto-tagging images that exhibit depth of field blur. This ensures that users who seek visually striking content are presented with high-quality images that stand out in their feeds.
- E-commerce Product Photography: Online retailers can use this function to assess product images for optimal presentation. By identifying images with depth of field blur, e-commerce businesses can ensure that products are showcased attractively, potentially increasing engagement and conversion rates.
- Stock Photo Curation: Stock photography websites can leverage this identifier to automatically curate collections of images with depth of field blur. This allows users searching for specific aesthetic qualities to quickly find and license images that meet their artistic needs.
- Automated Content Moderation: Content moderation systems can incorporate this function to filter user-uploaded images that intentionally or unintentionally exhibit depth of field blur. This can help enforce platform guidelines regarding image quality and aesthetics.
- Artistic Style Analysis in AI: Researchers in the field of artificial intelligence can utilize this function to analyze the artistic styles of various images. By categorizing images with depth of field blur, AI models can learn to replicate or innovate upon this characteristic in generative art applications.