Identify photo focus accuracy
using AI
Below is a free classifier to identify photo focus accuracy. Just upload your image, and our AI will predict what object is present in the image - 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("photo-focus-accuracy", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/photo-focus-accuracy/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/photo-focus-accuracy/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what object is present in the image.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Balanced Exposure, Blurry, Clear, Contrast Rich, Crisp, Detailed, Distorted, Fuzzy, Grainy and High Definition.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what object is present in the image).
Whether you're just curious or building photo focus accuracy detection into your application, we hope our classifier proves helpful.
Need to identify photo focus accuracy at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Quality Control: This function can be used to enhance user-generated content on social media platforms by automatically identifying and flagging photos that lack optimal focus. By ensuring that only high-quality images are displayed, platforms can improve user engagement and overall satisfaction.
- E-commerce Image Verification: E-commerce websites can utilize the photo focus accuracy identifier to assess product images uploaded by sellers. By ensuring that only sharp, focused images are promoted, online marketplaces can enhance the shopping experience and reduce return rates due to misleading product representations.
- Digital Asset Management: Companies with large libraries of digital images can implement this function to streamline the organization of their assets. This automated checking system can help categorize images based on quality, making it easier to retrieve high-quality visuals for marketing and promotional materials.
- Smartphone Camera Enhancements: Smartphone manufacturers can integrate this identifier into their camera software to provide users with real-time feedback on focus accuracy while taking photos. This feature can help users capture better images, enhancing the overall photography experience and satisfaction with the device.
- Photo Editing Software Optimization: Photo editing tools can leverage the false image classification function to suggest improvements to images that are out of focus. This can enable users to make informed edits or automatically refine the images, leading to higher quality outputs for professionals and hobbyists alike.
- Healthcare Imaging Review: In medical imaging, ensuring the clarity of diagnostic images such as X-rays or MRIs is crucial. This function can aid radiologists by automatically flagging unsharp images, ensuring that only the most accurate visuals are considered for diagnosis, thereby enhancing patient care.
- Facial Recognition Algorithms: Security and surveillance systems can improve the accuracy of their facial recognition algorithms by pre-processing images to identify and exclude those with poor focus. This can lead to higher success rates in identification and monitoring, enhancing security measures in various environments.