Identify compression ratio
using AI
Below is a free classifier to identify compression ratio. Just upload your image, and our AI will predict the compression ratio of various images - 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("compression-ratio", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/compression-ratio/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/compression-ratio/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the compression ratio of various images.
This pretrained image model uses a Nyckel-created dataset and has 7 labels, including High, Low, Medium, Medium High, Medium Low, 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 compression ratio of various images).
Whether you're just curious or building compression ratio detection into your application, we hope our classifier proves helpful.
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Need to identify compression ratio at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Digital Forensics: The compression ratio identifier can help forensic analysts detect potentially falsified images in criminal investigations. By analyzing the compression ratios, they can identify inconsistencies that indicate manipulation or tampering, thus aiding in the assessment of the authenticity of evidence.
- Social Media Monitoring: Brands can utilize the compression ratio identifier to monitor images shared on social media for authenticity. This function can help identify and flag manipulated images that may misrepresent products or brand images, protecting the integrity of their marketing efforts.
- E-commerce Verification: E-commerce platforms can implement the compression ratio identifier to verify the authenticity of product images uploaded by sellers. By ensuring that images align with expected compression characteristics, platforms can reduce the incidence of misleading product representations.
- News and Media Integrity: News organizations can use the compression ratio identifier to verify the authenticity of images used in stories. This tool can help journalists ensure that the images they publish are genuine, which is critical for maintaining trust and credibility with their audience.
- Machine Learning Data Quality: In training machine learning models, ensuring high-quality input data is crucial. The compression ratio identifier can be utilized to filter out potentially manipulated images, thereby enhancing the quality and reliability of datasets used for training AI systems.
- Content Moderation: Online platforms can employ the compression ratio identifier in their content moderation processes. By automatically flagging images with suspicious compression ratios, they can reduce the prevalence of harmful or misleading content, promoting a safer user environment.
- Academic Research: Researchers studying image authenticity and manipulation can leverage the compression ratio identifier to validate their findings. This tool enables them to analyze large datasets for patterns of image compression that contrast with genuine images, thereby enhancing the rigor of their studies in image processing and computer vision.