Identify if photo has motion blur
using AI
Below is a free classifier to identify if photo has motion blur. Just upload your image, and our AI will predict if there is motion 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-photo-has-motion-blur", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-photo-has-motion-blur/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-photo-has-motion-blur/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if there is motion blur.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Motion Blur and Sharp.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if there is motion blur).
Whether you're just curious or building if photo has motion blur detection into your application, we hope our classifier proves helpful.
Need to identify if photo has motion blur at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-commerce Product Listings: Online retailers can utilize the motion blur identifier to automatically filter out product images that are poorly captured, ensuring that only high-quality, clear images are displayed. This improves the overall shopping experience and can lead to higher conversion rates.
- Social Media Content Moderation: Social media platforms can implement the motion blur identifier to flag and review user-uploaded images that may not meet community guidelines for clarity. By maintaining image quality, platforms can enhance user engagement and satisfaction.
- Photography Portfolio Evaluation: Photography agencies can use this identifier to assess submitted portfolios by detecting motion blur in photographs. This enables them to quickly shortlist candidates whose work showcases technical proficiency and attention to detail.
- Sports Photography Analysis: Sports organizations can analyze images captured during games to identify and filter out photographs that have motion blur. This serves to ensure that only the best action shots, which highlight athletic performances, are used for promotional materials and archives.
- Automated Image Tagging for AI Training: AI training datasets can leverage the motion blur identifier to categorize images based on quality. By excluding blurred photos, the datasets can improve the accuracy of machine learning models, particularly in applications requiring image recognition.
- Real Estate Listings Improvement: Real estate agencies can enhance listing photographs by using the motion blur identifier to eliminate unfit images. This ensures that potential buyers view crisp, high-definition images of properties, thereby boosting interest and engagement.
- Security and Surveillance Feed Analysis: Security systems can employ the motion blur identifier to detect and reduce the number of blurred images in surveillance footage. By ensuring clearer images, it enhances the capability to identify potential threats or incidents effectively.