Identify pattern type
using AI
Below is a free classifier to identify pattern type. Just upload your image, and our AI will predict the type of pattern present in the image - 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("pattern-type-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/pattern-type-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/pattern-type-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of pattern present in the image.
This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Abstract, Animal Print, Argyle, Batik, Brocade, Camo, Check, Chevron, Damask and Dot.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of pattern present in the image).
Whether you're just curious or building pattern type detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify pattern type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection: The pattern type identifier can be utilized in financial institutions to classify and flag potentially fraudulent transactions. By analyzing transaction images and patterns, the system can alert investigators to suspicious activities, helping to minimize loss and improve security.
- Quality Control in Manufacturing: Manufacturers can leverage the false image classification function to evaluate product images during the assembly process. Identifying defects or deviations in patterns ensures that only products meeting quality standards proceed to market, thus reducing returns and enhancing customer satisfaction.
- Digital Content Moderation: Social media platforms can implement this function to identify inappropriate or harmful imagery based on established patterns. By automating the detection of such content, platforms can maintainSafe spaces and improve user experience while minimizing manual review efforts.
- Wildlife Monitoring: Environmental organizations can use the pattern type identifier to analyze images from camera traps in the field for wildlife research. By classifying species based on their patterns, researchers can track populations and study behaviors, aiding conservation efforts.
- Fashion Trend Analysis: Retail brands can employ this function to analyze customer-generated images for emerging fashion trends. Identifying patterns in user-uploaded photos helps brands adapt their inventory and marketing strategies to align with current consumer preferences.
- Art Authentication: Galleries and auction houses can leverage the false image classification function to analyze artworks for authenticity. By examining patterns and comparing them to established works, art experts can reduce the risk of fraud in high-value sales.
- Personalized Marketing: E-commerce platforms can utilize pattern identification to analyze images of customer styles and preferences. This data can drive targeted advertising campaigns based on identified patterns in consumer imagery, ultimately enhancing customer engagement and sales conversion rates.