Identify digital texture style
using AI
Below is a free classifier to identify digital texture style. Just upload your image, and our AI will predict the digital texture style of 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("digital-texture-style-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/digital-texture-style-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/digital-texture-style-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the digital texture style of the image.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including 3D Model, Abstract, Bitmap, Flat Design, Geometric, Gradient, Hand-Drawn, Isometric, Low Poly and Minimalist.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the digital texture style of the image).
Whether you're just curious or building digital texture style detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify digital texture style at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Automated Quality Control in Manufacturing: The digital texture style identifier can be implemented in manufacturing processes to automatically assess the surface quality of products. By classifying textures as acceptable or defective, it helps streamline quality control and reduce waste due to human error.
- Fashion Retail Visual Search: Retailers can utilize the texture identifier for enhancing their e-commerce platforms, allowing customers to upload images and search for similar clothing based on fabric texture and style. This personalized shopping experience improves customer satisfaction and increases sales opportunities.
- Virtual Interior Design: Interior design applications can leverage the texture classification function to help users visualize how different textures would look in a space. By analyzing uploaded images of rooms, the tool can suggest compatible textures for furnishings, wallpapers, or decor, making design decisions easier for consumers.
- Art Restoration and Analysis: Museums and art conservators can use the texture identifier to classify and analyze the materials and texture styles of artworks. This technology can support restoration efforts by providing insights into original textures, helping to maintain the integrity of the artwork.
- Textile Manufacturing Optimization: Textile manufacturers can apply the digital texture style identifier to analyze and categorize different fabric patterns and textures. This data can drive production decisions and enhance marketing strategies by identifying trends in fabric styles that align with consumer preferences.
- Augmented Reality Home Improvement Apps: Augmented reality (AR) applications can use the texture classification feature to allow homeowners to visualize different surface textures in real-time. Users can see how various materials will look in their homes before making a purchase, reducing buyer remorse and improving decision-making.
- Digital Content Creation for Marketing: Marketing agencies can utilize the texture identifier to streamline content creation by quickly classifying and tagging images based on their textures. This capability enables more precise targeting and personalization in digital campaigns, enhancing engagement and brand affinity.