Identify if image has sufficient resolution
using AI
Below is a free classifier to identify if image has sufficient resolution. Just upload your image, and our AI will predict if the image has sufficient resolution - 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-sufficient-resolution-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-has-sufficient-resolution-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-sufficient-resolution-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has sufficient resolution.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Low Resolution and Print Quality.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has sufficient resolution).
Whether you're just curious or building if image has sufficient resolution detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if image has sufficient resolution at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: In manufacturing settings, a true image classification function can assess the resolution of product images to ensure they meet quality standards. By filtering out low-resolution images, the process can reduce defects and enhance product visibility in catalogs.
- Medical Imaging Analysis: Medical professionals can utilize this function to evaluate the resolution of diagnostic images like X-rays or MRIs. Accurate high-resolution images are critical for precise diagnoses, ensuring that only suitable images are flagged for review by radiologists.
- E-commerce Product Listing: E-commerce platforms can implement this feature to verify the resolution quality of product photos uploaded by sellers. This helps maintain a high standard for visual content, enhancing the shopping experience and increasing customer trust in product representations.
- Social Media Content Moderation: Social media companies can use this classification function to automatically assess the resolution of user-uploaded images. Ensuring that only high-resolution content is displayed helps maintain a professional and aesthetically pleasing platform.
- Real Estate Virtual Tours: In real estate, a true image classification tool can assess the resolution of property photos used in virtual tours. By ensuring that only high-resolution images are utilized, realtors can present listings more attractively, leading to increased interest and potential sales.
- Insurance Claims Processing: Insurance companies can employ this function to analyze the quality of images submitted with claims. By rejecting low-resolution images, they ensure that claims are supported by clear evidence, minimizing the risk of fraud or misrepresentation.
- Automated Image Curation for News Outlets: News organizations can integrate this image classification tool to filter submitted images for their stories. Ensuring high-resolution images are used enhances the overall quality of visual storytelling and maintains the outlet's journalistic standards.