Identify technical pattern type
using AI
Below is a free classifier to identify technical pattern type. Just upload your image, and our AI will predict the type of technical 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("technical-pattern-type-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/technical-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/technical-pattern-type-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of technical pattern present in the image.
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Architecture Plan, Blueprint, Cad Model, Circuit Board, Electrical Layout, Engineering Drawing, Flowchart, Functional Diagram, Geometric Pattern and Infographic.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of technical pattern present in the image).
Whether you're just curious or building technical pattern type detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify technical pattern type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: This function can be used to identify technical patterns in product images during the manufacturing process. By automatically classifying defective items and categorizing them based on their specific faults, manufacturers can streamline quality assurance efforts, reduce waste, and enhance product reliability.
- Artwork Authentication: Art galleries and auction houses can leverage this image classification function to verify the authenticity of artworks. By analyzing images for specific technical patterns characteristic of either original works or forgeries, the tool can aid in preventing art fraud and protect investments in valuable pieces.
- Medical Imaging Analysis: In healthcare, this function can assist radiologists by identifying specific patterns in medical images, such as X-rays or MRIs. By classifying the technical features of images, the system can provide preliminary insights into potential abnormalities, aiding in quicker and more accurate diagnoses.
- Security Surveillance Systems: This function can be applied in security systems to identify abnormal patterns in surveillance footage. By classifying technical patterns of regular behavior versus suspicious activities, it can enhance response times and improve safety measures in high-security environments.
- Automated Document Verification: Businesses can implement this function to classify images of documents, such as contracts and ID cards, to ensure they meet specific technical standards. This automation can help in streamlining the verification process while reducing the potential for human errors.
- Fashion Trend Analysis: Fashion retailers can utilize this classification function to analyze images of clothing and accessories, identifying emerging patterns and trends. By categorizing items based on their technical features, businesses can make informed decisions on inventory and design to stay ahead of market demands.
- User-Generated Content Moderation: Social media platforms can use the technical pattern identifier to classify user-uploaded images for content moderation. By automatically identifying inappropriate or harmful images, the function can enhance community safety while enabling a more streamlined review process for content compliance.