Identify traditional textile pattern
using AI
Below is a free classifier to identify traditional textile pattern. Just upload your image, and our AI will predict what traditional textile pattern it is - 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("traditional-textile-pattern-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/traditional-textile-pattern-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/traditional-textile-pattern-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what traditional textile pattern it is.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Afghan Kilim, Batik, Bengali Alpona, Chinese Brocade, Dutch Delft Blue, Finnish Ryijy, Greek Foustanelle, Haitian Tapistry, Indian Bandhani and Indonesian Songket.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what traditional textile pattern it is).
Whether you're just curious or building traditional textile pattern detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify traditional textile pattern at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Textile Manufacturing: The false image classification function can be employed in textile manufacturing facilities to automatically identify and flag non-conforming patterns in fabric. By implementing this technology, manufacturers can enhance their quality control processes, reduce waste, and ensure that only textiles meeting design specifications proceed to the next stage.
- E-Commerce Product Validation: Online retailers can utilize this identification function to validate and authenticate traditional textile patterns in product listings. This helps ensure that customers receive products that accurately match their descriptions, increasing trust and reducing return rates due to mismatched patterns.
- Cultural Heritage Documentation: Museums and cultural institutions can leverage this technology to catalog traditional textile patterns in their collections. By accurately identifying and classifying these patterns, organizations can create detailed databases that promote research, education, and heritage preservation.
- Fashion Trend Analysis: Fashion designers and analysts can use the function to analyze emerging trends in traditional textiles by identifying which patterns are gaining popularity. Insights gained from this analysis can inform design decisions and inventory management strategies to align with current market demands.
- Personalized Marketing Campaigns: Businesses can utilize the function to segment their audience based on preferences for specific traditional textile patterns. This allows companies to run targeted marketing campaigns that resonate better with customers, enhancing engagement and potential sales.
- Supply Chain Management: In the context of supply chains, the classification function can help brands trace the origin of their textile materials to ensure ethical sourcing and authenticity. This capability can enhance transparency and build consumer trust in brands that prioritize sustainability and ethical practices.
- Educational Tools for Textile Design: Educational institutions can incorporate this technology into programs focused on textile design and the study of traditional patterns. By providing students with tools to identify and classify textile motifs, the institution can enhance the learning experience and foster a deeper appreciation for textile arts.