Identify if image has camera shake
using AI
Below is a free classifier to identify if image has camera shake. Just upload your image, and our AI will predict if the image has camera shake - 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-camera-shake-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-has-camera-shake-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-camera-shake-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has camera shake.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Camera Shake and Stable.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has camera shake).
Whether you're just curious or building if image has camera shake detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image has camera shake at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Photo Quality Assessment: This function can be utilized by photo editing software to automatically detect and notify users of camera shake in their images. This allows photographers to quickly identify and discard subpar images before spending time on editing.
- E-Commerce Image Verification: Online retailers can implement this technology to ensure that product images meet quality standards. By identifying images that suffer from camera shake, retailers can enhance the quality of listings, leading to better customer trust and potentially higher sales.
- Social Media Filtering: Social media platforms can use this functionality to improve user experience by automatically flagging and filtering out images with camera shake before they are posted. This promotes a higher standard of content shared on the platform, leading to more engaging and visually appealing feeds.
- Drone Photography Analysis: Companies employing drone technology can use this feature to analyze aerial images for camera shake, ensuring that only the clearest images are retained. This is crucial for industries like real estate and surveying, where image quality can impact decision-making.
- Mobile App Development: Mobile camera apps can incorporate this function to alert users in real-time when their images may be affected by camera shake. Providing this feedback encourages users to take more stable photos and enhances the overall quality of images captured.
- Archival Preservation: Institutions such as museums or libraries can use image classification to screen digitized images for camera shake before archiving. This ensures a higher quality of archived images, preserving the integrity and clarity of valuable historical documents.
- AI Training Data Refinement: AI and machine learning models can use this identifier to filter out images affected by camera shake from training datasets. By improving the quality of input data, models can better learn to distinguish between image types and improve their predictive accuracy in image recognition tasks.