Identify what material a jeans is made from
using AI
Below is a free classifier to identify what material a jeans is made from. Just upload your image, and our AI will predict what material the jeans are made from - 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("what-material-a-jeans-is-made-from", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/what-material-a-jeans-is-made-from/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/what-material-a-jeans-is-made-from/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what material the jeans are made from.
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Acrylic, Blend, Canvas, Cotton, Denim, Elastane, Lyocell, Nylon, Polyester and Rayon.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what material the jeans are made from).
Whether you're just curious or building what material a jeans is made from detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify what material a jeans is made from at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: The false image classification function can be employed in jeans manufacturing to ensure that the correct materials are used in production. By automatically identifying the material composition from images, manufacturers can reduce defects and ensure compliance with quality standards.
- Sustainability Reporting: Retailers can utilize the classification function to gather accurate data on the materials used in their jeans inventory. This information can enhance transparency in sustainability reports and allow companies to communicate their environmental impact more effectively to consumers.
- Virtual Try-On Solutions: E-commerce platforms can integrate the false image classification tool to provide customers with more accurate material information during virtual try-on sessions. Understanding the material composition can influence purchasing decisions, enhancing the online shopping experience.
- Inventory Optimization: Retailers can leverage the classification function to manage and analyze their stock more efficiently. By automatically categorizing jeans based on material, businesses can optimize inventory levels and streamline restocking processes.
- Personalized Marketing: The false image classification technology can help brands tailor marketing campaigns by discerning consumer preferences regarding materials. By delivering tailored content based on material types customers engage with, businesses can increase conversion rates and customer loyalty.
- Fraud Detection: The function can serve as a tool for brands to detect counterfeit products. By examining images of jeans, the technology can identify the actual materials used versus the advertised ones, helping brands combat fraud and protect their brand reputation.
- Research and Development: Fashion designers and researchers can use the classification function to explore material trends in jeans. By analyzing the material compositions of various styles, they can innovate new denim products that cater to market demands or explore eco-friendly alternatives.