Identify yarn brands
using AI
Below is a free classifier to identify yarn brands. Just upload your image, and our AI will predict what yarn brand 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("yarn-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/yarn-brands/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/yarn-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what yarn brand it is.
This pretrained image model uses a Nyckel-created dataset and has 26 labels, including Bernat, Bernat Blanket, Caron, Cascade Yarns, Debbie Bliss, Ella Rae, Filatura Di Crosa, Frabjous Fibers, Hobby Lobby Yarn and James C. Brett.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what yarn brand it is).
Whether you're just curious or building yarn brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify yarn brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Authenticity Verification: This use case involves verifying the authenticity of yarn brands in retail settings. Retailers can utilize the false image classification function to distinguish between genuine and counterfeit products, ensuring customers receive the quality they expect.
- Inventory Management: Yarn manufacturers can deploy this function to streamline inventory management. By classifying yarn brands from supplier photographs, businesses can ensure accurate stock levels and prevent mix-ups between different brands in warehouses.
- E-commerce Integration: Online platforms can integrate the image classification function to enhance user experience. When customers upload images of yarn they wish to purchase, the system can identify brands, enabling quick and accurate product recommendations.
- Quality Control: Yarn producers can apply this function during the quality control process. By classifying images of yarn samples, manufacturers can ensure that products meet brand specifications and maintain consistent quality across different batches.
- Marketing Analytics: Marketing teams can use this function to analyze successful branding strategies. By identifying which yarn brands are being visually shared most often on social media, companies can tailor their advertising efforts according to trending preferences.
- Customer Support Automation: Customer service departments can use the false image classification function to automate responses. When customers submit images of yarn with inquiries, the system can automatically identify the brand and provide relevant product information or troubleshooting tips.
- Fraud Detection: This use case focuses on identifying potential fraud in yarn contracting and sales. By analyzing images submitted by vendors, businesses can quickly classify whether the yarn matches the claimed brand, helping to mitigate issues related to misrepresentation.