Identify classical pattern type
using AI
Below is a free classifier to identify classical pattern type. Just upload your image, and our AI will predict what type of classical pattern it represents - 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("classical-pattern-type-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/classical-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/classical-pattern-type-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of classical pattern it represents.
This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Acanthus, Anthemion, Arabesque, Baroque, Brocade, Cane Webbing, Celtic Knot, Checkerboard, Chevron and Damask.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of classical pattern it represents).
Whether you're just curious or building classical pattern type detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify classical pattern type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: Implement a false image classification system to identify defective products on the assembly line. By leveraging classical pattern recognition techniques, manufacturers can quickly distinguish between acceptable and non-acceptable items, thereby reducing waste and improving overall product quality.
- Document Verification for Financial Institutions: Use this function to detect counterfeit documents submitted for loans or credit applications. By analyzing patterns in submitted images against a database of verified documents, banks can enhance their fraud detection capabilities, minimizing financial losses.
- Spam Detection in Digital Marketing: Employ the false image classification for screening misleading advertisements and promotional images. This process can help businesses ensure that their marketing materials align with brand standards and do not inadvertently promote false or deceptive content.
- Art and Antiques Authentication: Utilize the identifier to evaluate the authenticity of artwork and antiques by comparing the image patterns against known originals. This application can aid galleries, auction houses, and collectors in validating items, thereby minimizing the risk of forgery.
- Wildlife Conservation Monitoring: Apply the function to classify images captured in the wild using camera traps, helping researchers distinguish between various species. By accurately identifying false positives in species classification, conservationists can better track populations and enhance their protective measures.
- Traffic Sign Recognition for Autonomous Vehicles: Incorporate the false image classification function in autonomous vehicle systems to correctly identify and respond to traffic signs. This capability will improve the driving accuracy and safety of these vehicles by reducing misinterpretation of traffic signals.
- Medical Image Diagnosis: Implement this function in radiology to assist in identifying anomalies in medical imaging scans. By classifying false positives in images, healthcare professionals can refine their diagnostic processes, leading to more accurate assessments and improved patient outcomes.