Identify if image is in focus
using AI
Below is a free classifier to identify if image is in focus. Just upload your image, and our AI will predict if the image is in focus - 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-in-focus", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-is-in-focus/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-in-focus/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image is in focus.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including In Focus and Out Of Focus.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image is in focus).
Whether you're just curious or building if image is in focus detection into your application, we hope our classifier proves helpful.
Need to identify if image is in focus at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: This use case involves using the image focus identifier to analyze product images during the manufacturing process. By ensuring that only in-focus images are considered valid, companies can reduce errors in quality control and enhance product reliability.
- Medical Imaging Analysis: In the healthcare sector, this classification function can be utilized to assess the clarity of medical images such as X-rays or MRIs. It helps healthcare professionals focus on images that are diagnostically useful and eliminate those that may lead to misinterpretation due to blur.
- E-commerce Product Listings: E-commerce platforms can leverage this technology to automatically filter out blurry product images uploaded by sellers. Ensuring that only sharp, focused images are displayed not only enhances user experience but also boosts sales by presenting products in the best light.
- Social Media Content Moderation: Social media platforms can implement the focus identifier to improve user engagement by promoting only high-quality images in feeds. This would enhance user experience and increase time spent on the platform by ensuring visually appealing content is prioritized.
- Autonomous Vehicles: In the field of autonomous driving, the image focus function can be integrated into the vehicle’s visual recognition systems. It could help in analyzing and interpreting road signs, obstacles, and other critical visual cues by ensuring that only focused images are processed for decision-making.
- Surveillance and Security: Security systems can incorporate the image focus identifier to ensure that only clear surveillance footage is retained for analysis. This can enhance monitoring accuracy and reliability while reducing storage costs associated with blurry, unusable recordings.
- Augmented Reality Applications: AR developers can use this function to enhance user experience by ensuring that only well-focused images interact with AR elements. This can improve the realism and effectiveness of AR applications, making the experience more immersive and enjoyable for users.