Identify if image is blurry
using AI
Below is a free classifier to identify if image is blurry. Just upload your image, and our AI will predict if the image is blurry - 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-is-blurry-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-is-blurry-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-is-blurry-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image is blurry.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Blurry and Sharp.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image is blurry).
Whether you're just curious or building if image is blurry detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image is blurry at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in E-commerce: The blurry image identifier can be used by online retailers to automatically flag product images that do not meet quality standards. This allows for improved customer experience as clear images are crucial for online purchasing decisions.
- Social Media Content Moderation: Social media platforms can implement this function to automatically detect and filter out blurry user-uploaded images. By ensuring high-quality visuals, platforms can enhance user engagement and maintain a professional appearance.
- Automated Image Enhancement: Photography apps can use a blurry image identifier to prompt users to retake or apply filters to enhance blurry photos. This feature aids in maintaining a high-quality photo library and can help users develop better photography skills.
- Document Verification Systems: In industries requiring document validation (e.g., banking or insurance), this function can help identify unclear scans or images of documents. It ensures that only clear and legible documents are processed, reducing errors and speeding up verification times.
- AI Training Data Quality Assurance: Companies relying on large datasets for training image recognition models can use this function to filter out low-quality images. By ensuring data quality, they can improve the performance and accuracy of their AI systems.
- Real Estate Listings: Real estate platforms can integrate the blurry image identifier to ensure all property listings feature high-quality photos. This can increase buyer interest and trust in listings, ultimately leading to more successful sales.
- Online Learning Platforms: Educational platforms that use images for course materials can implement this identifier to maintain image clarity in instructional content. It ensures that visuals are easily understandable, enhancing the learning experience for students.