Identify if image shows compression
using AI
Below is a free classifier to identify if image shows compression. Just upload your image, and our AI will predict if the image shows compression - 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-shows-compression", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-shows-compression/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-shows-compression/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image shows compression.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Compressed and Uncompressed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image shows compression).
Whether you're just curious or building if image shows compression detection into your application, we hope our classifier proves helpful.
Need to identify if image shows compression at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: In a production environment, an image classification system can identify images of products that show signs of compression damage, such as dents or misalignment. This will allow manufacturers to quickly address defects, reduce waste, and maintain quality standards.
- E-Commerce Product Listings: An e-commerce platform can utilize this function to scan product images uploaded by sellers for signs of compression defects. By ensuring high-quality images are displayed, the platform enhances customer trust and satisfaction, potentially leading to increased sales.
- Digital Archiving and Preservation: Libraries and museums can employ an image classification function to identify compressed images in their digital archives. This will help curators prioritize restoration or migration efforts to preserve the integrity of important visual assets.
- Insurance Claims Processing: Insurance companies can use this image identification feature to assess damage claims involving compressed items, such as boxes or homeowners' belongings. By accurately identifying compression, they can streamline claim approvals and improve customer service.
- Automated Image Curation: Media companies and social networks can leverage this classification to filter out low-quality images that exhibit signs of compression before they are posted or shared. This will contribute to an overall enhancement of content quality on the platform.
- Post-Production for Photography: Photography studios can implement this function to review and flag client images that have been improperly compressed during editing. This assists in maintaining professionalism by ensuring only the best-quality images are delivered to clients.
- Smart Home Device Notifications: Smart home security systems equipped with image recognition can notify homeowners if surveillance images exhibit signs of compression, potentially indicating tampering or malfunction. This feature enhances security by prompting users to review and investigate unusual activity.