Identify resolution quality
using AI
Below is a free classifier to identify resolution quality. Just upload your image, and our AI will predict the resolution quality of 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("resolution-quality-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/resolution-quality-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/resolution-quality-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the resolution quality of the image..
This pretrained image model uses a Nyckel-created dataset and has 5 labels, including High, Low, Medium, Very High and Very Low.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the resolution quality of the image.).
Whether you're just curious or building resolution quality detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify resolution quality at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: This function can be employed in manufacturing environments to automatically assess the resolution quality of product images before they are approved for marketing. By ensuring that only high-resolution images are used, companies can maintain their brand's integrity and enhance customer perception.
- E-commerce Product Listings: Online retailers can integrate this function to analyze product images uploaded by sellers. The function can flag low-resolution images, prompting sellers to upload higher-quality alternatives which can lead to better customer engagement and higher conversion rates.
- Social Media Image Validation: Social media platforms can utilize this function to maintain the quality of images shared by users. By identifying low-resolution uploads, the platform can encourage users to post clearer images, thus enhancing the overall aesthetic quality of the platform.
- Digital Marketing Campaigns: Marketing teams can use this function to check the resolution of images intended for ads and promotional materials. Ensuring that only high-resolution images are used can improve the effectiveness of campaigns by making them visually appealing and professional.
- Art and Photography Portfolios: Online galleries or portfolio sites can implement this function to review submitted artworks or photographs. By identifying low-resolution submissions, platforms can ensure that only high-quality content is displayed, thus boosting the professionalism of the gallery.
- Video Game Graphics Optimization: Game developers can use this function to evaluate images used in promotional graphics or in-game assets. Ensuring all images meet certain resolution thresholds can enhance the visual experience for players and ensure consistency across platforms.
- Medical Imaging Analysis: In healthcare, this function can assist in evaluating the quality of medical images such as MRI or X-ray scans. By confirming that the images are of sufficient resolution, it helps healthcare professionals make better-informed medical decisions and can improve diagnostic accuracy.