Identify if pattern has scanlines
using AI
Below is a free classifier to identify if pattern has scanlines. Just upload your image, and our AI will predict if it has scanlines - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-pattern-has-scanlines-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-pattern-has-scanlines-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-pattern-has-scanlines-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it has scanlines.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including No Scanlines and Scanlines.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it has scanlines).
Whether you're just curious or building if pattern has scanlines detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if pattern has scanlines at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: In industries like textiles and printing, the 'if pattern has scanlines' identifier can automate quality checks by identifying defects in patterns that include scanlines. This ensures only high-quality products reach consumers, reducing waste and enhancing production efficiency.
- Digital Artwork Verification: Art platforms can utilize the scanline identifier to confirm the authenticity of digital artworks. By detecting scanline patterns typical of certain printing techniques or digital artifacts, it protects artists' rights and helps buyers verify originality.
- Content Moderation in Publishing: Online content platforms can implement this identifier to flag images that contain scanlines, which may indicate low-quality scans of copyrighted works. This can streamline the content moderation process by automatically identifying and removing potentially infringing material.
- Data Cataloging in Image Libraries: Image classification systems in stock photography or online image databases can categorize images based on the presence of scanlines. This enables better organization, retrieval, and search capability for users looking for specific image qualities.
- Print Design Automation: Print companies can use the scanline identifier in design software to ensure that submitted designs meet specific print quality standards. This minimizes the chances of producing materials with visual artifacts caused by improper scanning techniques.
- Enhanced Photo Restoration Services: Photo restoration businesses can utilize the scanline identifier to prioritize restoration efforts on images that contain scanlines. By identifying these patterns, they can streamline their workflow and improve the quality of restored digital images.
- Machine Learning Training Data Optimization: In training machine learning models for image analysis, the scanline identifier can help filter and categorize images that meet certain quality criteria. This process improves the overall accuracy of machine learning algorithms by ensuring they learn from high-quality, relevant data only.