Identify if pattern is gradient mesh
using AI
Below is a free classifier to identify if pattern is gradient mesh. Just upload your image, and our AI will predict if it's a gradient mesh - 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("if-pattern-is-gradient-mesh-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-pattern-is-gradient-mesh-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/if-pattern-is-gradient-mesh-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's a gradient mesh.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Gradient Mesh and Not Mesh.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a gradient mesh).
Whether you're just curious or building if pattern is gradient mesh detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if pattern is gradient mesh at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fabric Design Evaluation: This use case involves assessing textile patterns for fashion and interior design. By identifying whether a pattern is a gradient mesh, designers can ensure their products align with current trends or meet specific aesthetic criteria.
- Automated Quality Control in Printing: In the printing industry, this function can be integrated into quality control systems to determine if printed materials meet gradient mesh specifications. This helps prevent production defects and improves overall print quality by flagging issues before distribution.
- Art and Illustration Categorization: Digital art platforms can utilize this classification function to sort and categorize artworks that employ gradient mesh techniques. This assists users in finding desired styles quickly, enhancing user experience and platform organization.
- Graphic Design Software Enhancement: Graphic design tools can incorporate this feature to assist users in creating and manipulating gradient mesh objects. By providing real-time feedback on the mesh patterns, designers can more effectively utilize advanced techniques in their projects.
- Fashion E-Commerce Filtering: Online retailers can use this classification to filter clothing and accessories based on gradient mesh patterns. This allows customers to quickly find products that match specific styles, improving navigation and increasing conversion rates.
- Augmented Reality Textures for Apps: Mobile applications that use augmented reality can identify gradient mesh patterns to enhance user interactions with digital environments. This function allows for more realistic and visually appealing textures in AR experiences, improving user engagement.
- Educational Tools for Art Students: Art education platforms can implement this function to help students learn about the gradient mesh technique. By analyzing and identifying patterns in student artworks, instructors can provide tailored feedback and resources, enriching the learning experience.