Identify code visualization pattern
using AI
Below is a free classifier to identify code visualization pattern. Just upload your image, and our AI will predict the visualization 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("code-visualization-pattern-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/code-visualization-pattern-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/code-visualization-pattern-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the visualization pattern it represents.
This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Architectural Diagram, Bar Chart, Binary, Circuit, Class Diagram, Control Flow Diagram, Data Flow Diagram, Dependency Graph, Er Diagram and Flow Chart.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the visualization pattern it represents).
Whether you're just curious or building code visualization pattern detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify code visualization pattern at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Assurance in Image Processing: This functionality can be used in quality assurance teams to identify and flag false classifications in image datasets. By leveraging the code visualization pattern identifier, teams can ensure that their machine learning models are trained on accurate and relevant image data, improving overall system reliability.
- Enhanced Training for AI Models: The identifier can serve as a tool for machine learning engineers to analyze false classifications and subsequently refine their training datasets. By visualizing patterns in errors, they can adjust their models more effectively, leading to better accuracy in image recognition tasks.
- Debugging Image Recognition Systems: When an image recognition system produces unexpected results, the false image classification identifier can help developers understand the underlying issues. By exposing visual patterns related to common misclassifications, engineers can promptly debug and enhance the model’s performance.
- Annotation Quality Control: In environments where image annotation is critical, this function can help ensure the reliability of labeled datasets. By identifying patterns in misclassified images, analysts can provide feedback to annotators, leading to higher quality annotations and improved model outcomes.
- Customer Insights for E-commerce: E-commerce platforms can utilize this identifier to analyze product image classifications, ensuring that customers receive accurate visual representations of products. By minimizing false classifications, businesses can enhance customer satisfaction and reduce return rates.
- Fraud Detection in Visual Content: In the realm of content moderation and security, this functionality can be used to identify false classifications in visual content moderation systems. By accurately classifying genuine and fraudulent images, businesses can better combat fraud and maintain the integrity of user-generated content.
- Automated Content Tagging: Media and entertainment businesses can implement the code visualization pattern identifier to improve their content tagging processes. By identifying and rectifying misclassifications in visual content, they can enhance searchability and discoverability of media assets, optimizing engagement and user experience.